From d2e9401b18925b5702c5c758af7d4f5b61deb493 Mon Sep 17 00:00:00 2001
From: Daniel Baumann
SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 19 different dialects like DuckDB, Presto, Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically correct SQL in the targeted dialects.
\n\nIt is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python.
\n\nYou can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL.
\n\nSyntax errors are highlighted and dialect incompatibilities can warn or raise depending on configurations. However, it should be noted that SQL validation is not SQLGlot\u2019s goal, so some syntax errors may go unnoticed.
\n\nContributions are very welcome in SQLGlot; read the contribution guide to get started!
\n\nFrom PyPI:
\n\npip3 install sqlglot\n
\n\nOr with a local checkout:
\n\nmake install\n
\n\nRequirements for development (optional):
\n\nmake install-dev\n
\n\nWe'd love to hear from you. Join our community Slack channel!
\n\nEasily translate from one dialect to another. For example, date/time functions vary from dialects and can be hard to deal with:
\n\nimport sqlglot\nsqlglot.transpile("SELECT EPOCH_MS(1618088028295)", read="duckdb", write="hive")[0]\n
\n'SELECT FROM_UNIXTIME(1618088028295 / 1000)'\n
\nSQLGlot can even translate custom time formats:
\n\nimport sqlglot\nsqlglot.transpile("SELECT STRFTIME(x, '%y-%-m-%S')", read="duckdb", write="hive")[0]\n
\n"SELECT DATE_FORMAT(x, 'yy-M-ss')"\n
\nAs another example, let's suppose that we want to read in a SQL query that contains a CTE and a cast to REAL
, and then transpile it to Spark, which uses backticks for identifiers and FLOAT
instead of REAL
:
import sqlglot\n\nsql = """WITH baz AS (SELECT a, c FROM foo WHERE a = 1) SELECT f.a, b.b, baz.c, CAST("b"."a" AS REAL) d FROM foo f JOIN bar b ON f.a = b.a LEFT JOIN baz ON f.a = baz.a"""\nprint(sqlglot.transpile(sql, write="spark", identify=True, pretty=True)[0])\n
\nWITH `baz` AS (\n SELECT\n `a`,\n `c`\n FROM `foo`\n WHERE\n `a` = 1\n)\nSELECT\n `f`.`a`,\n `b`.`b`,\n `baz`.`c`,\n CAST(`b`.`a` AS FLOAT) AS `d`\nFROM `foo` AS `f`\nJOIN `bar` AS `b`\n ON `f`.`a` = `b`.`a`\nLEFT JOIN `baz`\n ON `f`.`a` = `baz`.`a`\n
\nComments are also preserved in a best-effort basis when transpiling SQL code:
\n\nsql = """\n/* multi\n line\n comment\n*/\nSELECT\n tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n CAST(x AS INT), # comment 3\n y -- comment 4\nFROM\n bar /* comment 5 */,\n tbl # comment 6\n"""\n\nprint(sqlglot.transpile(sql, read='mysql', pretty=True)[0])\n
\n/* multi\n line\n comment\n*/\nSELECT\n tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n CAST(x AS INT), /* comment 3 */\n y /* comment 4 */\nFROM bar /* comment 5 */, tbl /* comment 6 */\n
\nYou can explore SQL with expression helpers to do things like find columns and tables:
\n\nfrom sqlglot import parse_one, exp\n\n# print all column references (a and b)\nfor column in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Column):\n print(column.alias_or_name)\n\n# find all projections in select statements (a and c)\nfor select in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Select):\n for projection in select.expressions:\n print(projection.alias_or_name)\n\n# find all tables (x, y, z)\nfor table in parse_one("SELECT * FROM x JOIN y JOIN z").find_all(exp.Table):\n print(table.name)\n
\nWhen the parser detects an error in the syntax, it raises a ParserError:
\n\nimport sqlglot\nsqlglot.transpile("SELECT foo( FROM bar")\n
\nsqlglot.errors.ParseError: Expecting ). Line 1, Col: 13.\n select foo( FROM bar\n ~~~~\n
\n\nStructured syntax errors are accessible for programmatic use:
\n\nimport sqlglot\ntry:\n sqlglot.transpile("SELECT foo( FROM bar")\nexcept sqlglot.errors.ParseError as e:\n print(e.errors)\n
\n[{\n 'description': 'Expecting )',\n 'line': 1,\n 'col': 13,\n 'start_context': 'SELECT foo( ',\n 'highlight': 'FROM',\n 'end_context': ' bar'\n}]\n
\nPresto APPROX_DISTINCT
supports the accuracy argument which is not supported in Hive:
import sqlglot\nsqlglot.transpile("SELECT APPROX_DISTINCT(a, 0.1) FROM foo", read="presto", write="hive")\n
\nAPPROX_COUNT_DISTINCT does not support accuracy\n'SELECT APPROX_COUNT_DISTINCT(a) FROM foo'\n
\nSQLGlot supports incrementally building sql expressions:
\n\nfrom sqlglot import select, condition\n\nwhere = condition("x=1").and_("y=1")\nselect("*").from_("y").where(where).sql()\n
\n'SELECT * FROM y WHERE x = 1 AND y = 1'\n
\nYou can also modify a parsed tree:
\n\nfrom sqlglot import parse_one\nparse_one("SELECT x FROM y").from_("z").sql()\n
\n'SELECT x FROM y, z'\n
\nThere is also a way to recursively transform the parsed tree by applying a mapping function to each tree node:
\n\nfrom sqlglot import exp, parse_one\n\nexpression_tree = parse_one("SELECT a FROM x")\n\ndef transformer(node):\n if isinstance(node, exp.Column) and node.name == "a":\n return parse_one("FUN(a)")\n return node\n\ntransformed_tree = expression_tree.transform(transformer)\ntransformed_tree.sql()\n
\n'SELECT FUN(a) FROM x'\n
\nSQLGlot can rewrite queries into an \"optimized\" form. It performs a variety of techniques to create a new canonical AST. This AST can be used to standardize queries or provide the foundations for implementing an actual engine. For example:
\n\nimport sqlglot\nfrom sqlglot.optimizer import optimize\n\nprint(\n optimize(\n sqlglot.parse_one("""\n SELECT A OR (B OR (C AND D))\n FROM x\n WHERE Z = date '2021-01-01' + INTERVAL '1' month OR 1 = 0\n """),\n schema={"x": {"A": "INT", "B": "INT", "C": "INT", "D": "INT", "Z": "STRING"}}\n ).sql(pretty=True)\n)\n
\nSELECT\n (\n "x"."a" OR "x"."b" OR "x"."c"\n ) AND (\n "x"."a" OR "x"."b" OR "x"."d"\n ) AS "_col_0"\nFROM "x" AS "x"\nWHERE\n CAST("x"."z" AS DATE) = CAST('2021-02-01' AS DATE)\n
\nYou can see the AST version of the sql by calling repr
:
from sqlglot import parse_one\nprint(repr(parse_one("SELECT a + 1 AS z")))\n
\n(SELECT expressions:\n (ALIAS this:\n (ADD this:\n (COLUMN this:\n (IDENTIFIER this: a, quoted: False)), expression:\n (LITERAL this: 1, is_string: False)), alias:\n (IDENTIFIER this: z, quoted: False)))\n
\nSQLGlot can calculate the difference between two expressions and output changes in a form of a sequence of actions needed to transform a source expression into a target one:
\n\nfrom sqlglot import diff, parse_one\ndiff(parse_one("SELECT a + b, c, d"), parse_one("SELECT c, a - b, d"))\n
\n[\n Remove(expression=(ADD this:\n (COLUMN this:\n (IDENTIFIER this: a, quoted: False)), expression:\n (COLUMN this:\n (IDENTIFIER this: b, quoted: False)))),\n Insert(expression=(SUB this:\n (COLUMN this:\n (IDENTIFIER this: a, quoted: False)), expression:\n (COLUMN this:\n (IDENTIFIER this: b, quoted: False)))),\n Move(expression=(COLUMN this:\n (IDENTIFIER this: c, quoted: False))),\n Keep(source=(IDENTIFIER this: b, quoted: False), target=(IDENTIFIER this: b, quoted: False)),\n ...\n]\n
\nSee also: Semantic Diff for SQL.
\n\nDialects can be added by subclassing Dialect
:
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n class Tokenizer(Tokenizer):\n QUOTES = ["'", '"']\n IDENTIFIERS = ["`"]\n\n KEYWORDS = {\n **Tokenizer.KEYWORDS,\n "INT64": TokenType.BIGINT,\n "FLOAT64": TokenType.DOUBLE,\n }\n\n class Generator(Generator):\n TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n TYPE_MAPPING = {\n exp.DataType.Type.TINYINT: "INT64",\n exp.DataType.Type.SMALLINT: "INT64",\n exp.DataType.Type.INT: "INT64",\n exp.DataType.Type.BIGINT: "INT64",\n exp.DataType.Type.DECIMAL: "NUMERIC",\n exp.DataType.Type.FLOAT: "FLOAT64",\n exp.DataType.Type.DOUBLE: "FLOAT64",\n exp.DataType.Type.BOOLEAN: "BOOL",\n exp.DataType.Type.TEXT: "STRING",\n }\n\nprint(Dialect["custom"])\n
\n<class '__main__.Custom'>\n
\n\nOne can even interpret SQL queries using SQLGlot, where the tables are represented as Python dictionaries. Although the engine is not very fast (it's not supposed to be) and is in a relatively early stage of development, it can be useful for unit testing and running SQL natively across Python objects. Additionally, the foundation can be easily integrated with fast compute kernels (arrow, pandas). Below is an example showcasing the execution of a SELECT expression that involves aggregations and JOINs:
\n\nfrom sqlglot.executor import execute\n\ntables = {\n "sushi": [\n {"id": 1, "price": 1.0},\n {"id": 2, "price": 2.0},\n {"id": 3, "price": 3.0},\n ],\n "order_items": [\n {"sushi_id": 1, "order_id": 1},\n {"sushi_id": 1, "order_id": 1},\n {"sushi_id": 2, "order_id": 1},\n {"sushi_id": 3, "order_id": 2},\n ],\n "orders": [\n {"id": 1, "user_id": 1},\n {"id": 2, "user_id": 2},\n ],\n}\n\nexecute(\n """\n SELECT\n o.user_id,\n SUM(s.price) AS price\n FROM orders o\n JOIN order_items i\n ON o.id = i.order_id\n JOIN sushi s\n ON i.sushi_id = s.id\n GROUP BY o.user_id\n """,\n tables=tables\n)\n
\nuser_id price\n 1 4.0\n 2 3.0\n
\nSee also: Writing a Python SQL engine from scratch.
\n\nSQLGlot uses pdoc to serve its API documentation:
\n\nmake docs-serve\n
\n\nmake check # Set SKIP_INTEGRATION=1 to skip integration tests\n
\n\nBenchmarks run on Python 3.10.5 in seconds.
\n\nQuery | \nsqlglot | \nsqlfluff | \nsqltree | \nsqlparse | \nmoz_sql_parser | \nsqloxide | \n
---|---|---|---|---|---|---|
tpch | \n0.01308 (1.0) | \n1.60626 (122.7) | \n0.01168 (0.893) | \n0.04958 (3.791) | \n0.08543 (6.531) | \n0.00136 (0.104) | \n
short | \n0.00109 (1.0) | \n0.14134 (129.2) | \n0.00099 (0.906) | \n0.00342 (3.131) | \n0.00652 (5.970) | \n8.76E-5 (0.080) | \n
long | \n0.01399 (1.0) | \n2.12632 (151.9) | \n0.01126 (0.805) | \n0.04410 (3.151) | \n0.06671 (4.767) | \n0.00107 (0.076) | \n
crazy | \n0.03969 (1.0) | \n24.3777 (614.1) | \n0.03917 (0.987) | \n11.7043 (294.8) | \n1.03280 (26.02) | \n0.00625 (0.157) | \n
SQLGlot uses dateutil to simplify literal timedelta expressions. The optimizer will not simplify expressions like the following if the module cannot be found:
\n\nx + interval '1' month\n
\nWhether to format generated SQL by default.
\n", "default_value": "False"}, "sqlglot.schema": {"fullname": "sqlglot.schema", "modulename": "sqlglot.schema", "kind": "module", "doc": "\n"}, "sqlglot.parse": {"fullname": "sqlglot.parse", "modulename": "sqlglot", "qualname": "parse", "kind": "function", "doc": "Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.
\n\nsqlglot.parser.Parser
options.\n\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parse_one": {"fullname": "sqlglot.parse_one", "modulename": "sqlglot", "qualname": "parse_one", "kind": "function", "doc": "The resulting syntax tree collection.
\n
Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.
\n\nsqlglot.parser.Parser
options.\n\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transpile": {"fullname": "sqlglot.transpile", "modulename": "sqlglot", "qualname": "transpile", "kind": "function", "doc": "The syntax tree for the first parsed statement.
\n
Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed\nto conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.
\n\nTrue
and if the target dialect is not specified the source dialect will be used as both:\nthe source and the target dialect.sqlglot.generator.Generator
options.\n\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\twrite: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentity: bool = True,\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\t**opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe": {"fullname": "sqlglot.dataframe", "modulename": "sqlglot.dataframe", "kind": "module", "doc": "The list of transpiled SQL statements.
\n
This is a drop-in replacement for the PySpark DataFrame API that will generate SQL instead of executing DataFrame operations directly. This, when combined with the transpiling support in SQLGlot, allows one to write PySpark DataFrame code and execute it on other engines like DuckDB, Presto, Spark, Snowflake, and BigQuery.
\n\nCurrently many of the common operations are covered and more functionality will be added over time. Please open an issue or PR with your feedback or contribution to help influence what should be prioritized next and make sure your use case is properly supported.
\n\nfrom pyspark.sql
with from sqlglot.dataframe
.spark.read.table
or spark.table
run sqlglot.schema.add_table('<table_name>', <column_structure>)
.\n{'cola': 'string', 'colb': 'int'}
StructType
similar to when using createDataFrame
.\nStructType([StructField('cola', StringType()), StructField('colb', IntegerType())])
createDataFrame
.\ncola: STRING, colb: INT
['cola', 'colb']
.sql(pretty=True)
to your final DataFrame command to return a list of sql statements to run that command.\n.sql(pretty=True, dialect='bigquery')
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\n\nsqlglot.schema.add_table('employee', {\n 'employee_id': 'INT',\n 'fname': 'STRING',\n 'lname': 'STRING',\n 'age': 'INT',\n}) # Register the table structure prior to reading from the table\n\nspark = SparkSession()\n\ndf = (\n spark\n .table('employee')\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True)) # Spark will be the dialect used by default\n
\nSELECT\n `employee`.`age` AS `age`,\n COUNT(DISTINCT `employee`.`employee_id`) AS `num_employees`\nFROM `employee` AS `employee`\nGROUP BY\n `employee`.`age`\n
\n\nThe step of adding sqlglot.schema.add_table
can be skipped if you have the column structure stored externally like in a file or from an external metadata table. This can be done by writing a class that implements the sqlglot.schema.Schema
abstract class and then assigning that class to sqlglot.schema
.
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\nfrom sqlglot.schema import Schema\n\n\nclass ExternalSchema(Schema):\n ...\n\nsqlglot.schema = ExternalSchema()\n\nspark = SparkSession()\n\ndf = (\n spark\n .table('employee')\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))\n
\nfrom google.cloud import bigquery\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\nclient = bigquery.Client()\n\ndata = [\n (1, "Jack", "Shephard", 34),\n (2, "John", "Locke", 48),\n (3, "Kate", "Austen", 34),\n (4, "Claire", "Littleton", 22),\n (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n types.StructField('employee_id', types.IntegerType(), False),\n types.StructField('fname', types.StringType(), False),\n types.StructField('lname', types.StringType(), False),\n types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n SparkSession()\n .createDataFrame(data, schema)\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n .sql(dialect="bigquery")\n)\n\nresult = None\nfor sql in sql_statements:\n result = client.query(sql)\n\nassert result is not None\nfor row in client.query(result):\n print(f"Age: {row['age']}, Num Employees: {row['num_employees']}")\n
\nimport os\n\nimport snowflake.connector\nfrom sqlglot.dataframe.session import SparkSession\nfrom sqlglot.dataframe import types\nfrom sqlglot.dataframe import functions as F\n\nctx = snowflake.connector.connect(\n user=os.environ["SNOWFLAKE_USER"],\n password=os.environ["SNOWFLAKE_PASS"],\n account=os.environ["SNOWFLAKE_ACCOUNT"]\n)\ncs = ctx.cursor()\n\ndata = [\n (1, "Jack", "Shephard", 34),\n (2, "John", "Locke", 48),\n (3, "Kate", "Austen", 34),\n (4, "Claire", "Littleton", 22),\n (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n types.StructField('employee_id', types.IntegerType(), False),\n types.StructField('fname', types.StringType(), False),\n types.StructField('lname', types.StringType(), False),\n types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n SparkSession()\n .createDataFrame(data, schema)\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("lname")).alias("num_employees"))\n .sql(dialect="snowflake")\n)\n\ntry:\n for sql in sql_statements:\n cs.execute(sql)\n results = cs.fetchall()\n for row in results:\n print(f"Age: {row[0]}, Num Employees: {row[1]}")\nfinally:\n cs.close()\nctx.close()\n
\nfrom pyspark.sql.session import SparkSession as PySparkSession\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\ndata = [\n (1, "Jack", "Shephard", 34),\n (2, "John", "Locke", 48),\n (3, "Kate", "Austen", 34),\n (4, "Claire", "Littleton", 22),\n (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n types.StructField('employee_id', types.IntegerType(), False),\n types.StructField('fname', types.StringType(), False),\n types.StructField('lname', types.StringType(), False),\n types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n SparkSession()\n .createDataFrame(data, schema)\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n .sql(dialect="spark")\n)\n\npyspark = PySparkSession.builder.master("local[*]").getOrCreate()\n\ndf = None\nfor sql in sql_statements:\n df = pyspark.sql(sql)\n\nassert df is not None\ndf.show()\n
\nAny operation that lacks a way to represent it in SQL cannot be supported by this tool. An example of this would be rdd operations. Since the DataFrame API though is mostly modeled around SQL concepts most operations can be supported.
\n"}, "sqlglot.dataframe.sql": {"fullname": "sqlglot.dataframe.sql", "modulename": "sqlglot.dataframe.sql", "kind": "module", "doc": "\n"}, "sqlglot.dataframe.sql.SparkSession": {"fullname": "sqlglot.dataframe.sql.SparkSession", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.SparkSession.table": {"fullname": "sqlglot.dataframe.sql.SparkSession.table", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.table", "kind": "function", "doc": "\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"fullname": "sqlglot.dataframe.sql.SparkSession.createDataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.createDataFrame", "kind": "function", "doc": "\n", "signature": "(\tself,\tdata: Sequence[Union[Dict[str, <MagicMock id='140377708850400'>], List[<MagicMock id='140377708850400'>], Tuple]],\tschema: Optional[<MagicMock id='140377708766032'>] = None,\tsamplingRatio: Optional[float] = None,\tverifySchema: bool = False) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.sql": {"fullname": "sqlglot.dataframe.sql.SparkSession.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.sql", "kind": "function", "doc": "\n", "signature": "(self, sqlQuery: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame": {"fullname": "sqlglot.dataframe.sql.DataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.DataFrame.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrame.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.__init__", "kind": "function", "doc": "\n", "signature": "(\tspark: <MagicMock id='140377712280432'>,\texpression: sqlglot.expressions.Select,\tbranch_id: Optional[str] = None,\tsequence_id: Optional[str] = None,\tlast_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,\tpending_hints: Optional[List[sqlglot.expressions.Expression]] = None,\toutput_expression_container: Optional[<MagicMock id='140377711871072'>] = None,\t**kwargs)"}, "sqlglot.dataframe.sql.DataFrame.sql": {"fullname": "sqlglot.dataframe.sql.DataFrame.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sql", "kind": "function", "doc": "\n", "signature": "(self, dialect='spark', optimize=True, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.copy": {"fullname": "sqlglot.dataframe.sql.DataFrame.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.copy", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.select": {"fullname": "sqlglot.dataframe.sql.DataFrame.select", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.select", "kind": "function", "doc": "\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.alias": {"fullname": "sqlglot.dataframe.sql.DataFrame.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.alias", "kind": "function", "doc": "\n", "signature": "(self, name: str, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.where": {"fullname": "sqlglot.dataframe.sql.DataFrame.where", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.where", "kind": "function", "doc": "\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.filter": {"fullname": "sqlglot.dataframe.sql.DataFrame.filter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.filter", "kind": "function", "doc": "\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.groupBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.groupBy", "kind": "function", "doc": "\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.group.GroupedData:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.agg": {"fullname": "sqlglot.dataframe.sql.DataFrame.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.agg", "kind": "function", "doc": "\n", "signature": "(self, *exprs, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.join": {"fullname": "sqlglot.dataframe.sql.DataFrame.join", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.join", "kind": "function", "doc": "\n", "signature": "(\tself,\tother_df: sqlglot.dataframe.sql.dataframe.DataFrame,\ton: Union[str, List[str], sqlglot.dataframe.sql.column.Column, List[sqlglot.dataframe.sql.column.Column]],\thow: str = 'inner',\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.orderBy", "kind": "function", "doc": "This implementation lets any ordered columns take priority over whatever is provided in ascending
. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.
This implementation lets any ordered columns take priority over whatever is provided in ascending
. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.
Functionality Difference: If you provide a value to replace a null and that type conflicts\nwith the type of the column then PySpark will just ignore your replacement.\nThis will try to cast them to be the same in some cases. So they won't always match.\nBest to not mix types so make sure replacement is the same type as the column
\n\nPossibility for improvement: Use typeof
function to get the type of the column\nand check if it matches the type of the value provided. If not then make it null.
Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html
\n", "signature": "(\tself,\tstorageLevel: str = 'MEMORY_AND_DISK_SER') -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData": {"fullname": "sqlglot.dataframe.sql.GroupedData", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.GroupedData.__init__": {"fullname": "sqlglot.dataframe.sql.GroupedData.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.__init__", "kind": "function", "doc": "\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tgroup_by_cols: List[sqlglot.dataframe.sql.column.Column],\tlast_op: sqlglot.dataframe.sql.operations.Operation)"}, "sqlglot.dataframe.sql.GroupedData.agg": {"fullname": "sqlglot.dataframe.sql.GroupedData.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.agg", "kind": "function", "doc": "\n", "signature": "(\tself,\t*exprs: Union[sqlglot.dataframe.sql.column.Column, Dict[str, str]]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.count": {"fullname": "sqlglot.dataframe.sql.GroupedData.count", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.count", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.mean": {"fullname": "sqlglot.dataframe.sql.GroupedData.mean", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.mean", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.avg": {"fullname": "sqlglot.dataframe.sql.GroupedData.avg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.avg", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.max": {"fullname": "sqlglot.dataframe.sql.GroupedData.max", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.max", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.min": {"fullname": "sqlglot.dataframe.sql.GroupedData.min", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.min", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.sum": {"fullname": "sqlglot.dataframe.sql.GroupedData.sum", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.sum", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.pivot": {"fullname": "sqlglot.dataframe.sql.GroupedData.pivot", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.pivot", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column": {"fullname": "sqlglot.dataframe.sql.Column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.Column.__init__": {"fullname": "sqlglot.dataframe.sql.Column.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.__init__", "kind": "function", "doc": "\n", "signature": "(\texpression: Union[<MagicMock id='140377710043744'>, sqlglot.expressions.Expression, NoneType])"}, "sqlglot.dataframe.sql.Column.ensure_col": {"fullname": "sqlglot.dataframe.sql.Column.ensure_col", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_col", "kind": "function", "doc": "\n", "signature": "(\tcls,\tvalue: Union[<MagicMock id='140377708259664'>, sqlglot.expressions.Expression, 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"sqlglot.dataframe.sql.Column.invoke_expression_over_column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_expression_over_column", "kind": "function", "doc": "\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140377708376176'>],\tcallable_expression: Callable,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.binary_op": {"fullname": "sqlglot.dataframe.sql.Column.binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.binary_op", "kind": "function", "doc": "\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140377706598112'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"fullname": "sqlglot.dataframe.sql.Column.inverse_binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.inverse_binary_op", "kind": "function", "doc": "\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140377706608240'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.unary_op": {"fullname": "sqlglot.dataframe.sql.Column.unary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.unary_op", "kind": "function", "doc": "\n", "signature": "(self, klass: Callable, **kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_literal": {"fullname": "sqlglot.dataframe.sql.Column.ensure_literal", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_literal", "kind": "function", "doc": "\n", "signature": "(cls, value) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.copy": {"fullname": "sqlglot.dataframe.sql.Column.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.copy", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.set_table_name": {"fullname": "sqlglot.dataframe.sql.Column.set_table_name", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.set_table_name", "kind": "function", "doc": "\n", "signature": "(self, table_name: str, copy=False) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.sql": {"fullname": "sqlglot.dataframe.sql.Column.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.sql", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.alias": {"fullname": "sqlglot.dataframe.sql.Column.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.alias", "kind": "function", "doc": "\n", "signature": "(self, name: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc": {"fullname": "sqlglot.dataframe.sql.Column.asc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc": {"fullname": "sqlglot.dataframe.sql.Column.desc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_first", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_last", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, 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"sqlglot.dataframe.sql.Column.otherwise", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.otherwise", "kind": "function", "doc": "\n", "signature": "(self, value: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNull": {"fullname": "sqlglot.dataframe.sql.Column.isNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNull", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNotNull": {"fullname": "sqlglot.dataframe.sql.Column.isNotNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNotNull", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.cast": {"fullname": "sqlglot.dataframe.sql.Column.cast", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.cast", "kind": "function", "doc": "Functionality Difference: PySpark cast accepts a datatype instance of the datatype class\nSqlglot doesn't currently replicate this class so it only accepts a string
\n", "signature": "(self, dataType: Union[str, sqlglot.dataframe.sql.types.DataType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.startswith": {"fullname": "sqlglot.dataframe.sql.Column.startswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.startswith", "kind": "function", "doc": "\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.endswith": {"fullname": "sqlglot.dataframe.sql.Column.endswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.endswith", "kind": "function", "doc": "\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.rlike": {"fullname": "sqlglot.dataframe.sql.Column.rlike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.rlike", "kind": "function", "doc": "\n", "signature": "(self, regexp: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.like": {"fullname": "sqlglot.dataframe.sql.Column.like", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.like", "kind": "function", "doc": "\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ilike": {"fullname": "sqlglot.dataframe.sql.Column.ilike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ilike", "kind": "function", "doc": "\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.substr": {"fullname": "sqlglot.dataframe.sql.Column.substr", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.substr", "kind": "function", "doc": "\n", "signature": "(\tself,\tstartPos: Union[int, sqlglot.dataframe.sql.column.Column],\tlength: Union[int, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isin": {"fullname": "sqlglot.dataframe.sql.Column.isin", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isin", "kind": "function", "doc": "\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140377706743696'>, Iterable[<MagicMock id='140377706743696'>]]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.between": {"fullname": "sqlglot.dataframe.sql.Column.between", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.between", "kind": "function", "doc": "\n", "signature": "(\tself,\tlowerBound: <MagicMock id='140377706814464'>,\tupperBound: <MagicMock id='140377706852560'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.over": {"fullname": "sqlglot.dataframe.sql.Column.over", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.over", "kind": "function", "doc": "\n", "signature": "(\tself,\twindow: <MagicMock id='140377706910272'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, 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{"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.fill", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.fill", "kind": "function", "doc": "\n", "signature": "(\tself,\tvalue: Union[int, bool, float, str, Dict[str, Any]],\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.replace", "kind": "function", "doc": "\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[str, List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window": {"fullname": "sqlglot.dataframe.sql.Window", "modulename": "sqlglot.dataframe.sql", "qualname": "Window", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.Window.partitionBy": {"fullname": "sqlglot.dataframe.sql.Window.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.partitionBy", "kind": "function", "doc": "\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140377707221328'>, List[<MagicMock id='140377707221328'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.orderBy": {"fullname": "sqlglot.dataframe.sql.Window.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.orderBy", "kind": "function", "doc": "\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140377707360368'>, List[<MagicMock id='140377707360368'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rowsBetween": {"fullname": "sqlglot.dataframe.sql.Window.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rowsBetween", "kind": "function", "doc": "\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rangeBetween": {"fullname": "sqlglot.dataframe.sql.Window.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rangeBetween", "kind": "function", "doc": "\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec": {"fullname": "sqlglot.dataframe.sql.WindowSpec", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"fullname": "sqlglot.dataframe.sql.WindowSpec.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.__init__", "kind": "function", "doc": "\n", "signature": "(expression: sqlglot.expressions.Expression = (WINDOW ))"}, "sqlglot.dataframe.sql.WindowSpec.copy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.copy", "kind": "function", "doc": "\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.sql": {"fullname": "sqlglot.dataframe.sql.WindowSpec.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.sql", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.partitionBy", "kind": "function", "doc": "\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140377707291568'>, List[<MagicMock id='140377707291568'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.orderBy", "kind": "function", "doc": "\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140377707161408'>, List[<MagicMock id='140377707161408'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rowsBetween", "kind": "function", "doc": "\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rangeBetween", "kind": "function", "doc": "\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameReader": {"fullname": "sqlglot.dataframe.sql.DataFrameReader", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.__init__", "kind": "function", "doc": "\n", "signature": "(spark: sqlglot.dataframe.sql.session.SparkSession)"}, "sqlglot.dataframe.sql.DataFrameReader.table": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.table", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.table", "kind": "function", "doc": "\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.__init__", "kind": "function", "doc": "\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tspark: Optional[sqlglot.dataframe.sql.session.SparkSession] = None,\tmode: Optional[str] = None,\tby_name: bool = False)"}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.copy", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.sql", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.mode", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.mode", "kind": "function", "doc": "\n", "signature": "(\tself,\tsaveMode: Optional[str]) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.insertInto", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.insertInto", "kind": "function", "doc": "\n", "signature": "(\tself,\ttableName: str,\toverwrite: Optional[bool] = None) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.saveAsTable", "kind": "function", "doc": "\n", "signature": "(\tself,\tname: str,\tformat: Optional[str] = None,\tmode: Optional[str] = None):", "funcdef": "def"}, "sqlglot.dialects": {"fullname": "sqlglot.dialects", "modulename": "sqlglot.dialects", "kind": "module", "doc": "While there is a SQL standard, most SQL engines support a variation of that standard. This makes it difficult\nto write portable SQL code. SQLGlot bridges all the different variations, called \"dialects\", with an extensible\nSQL transpilation framework.
\n\nThe base sqlglot.dialects.dialect.Dialect
class implements a generic dialect that aims to be as universal as possible.
Each SQL variation has its own Dialect
subclass, extending the corresponding Tokenizer
, Parser
and Generator
\nclasses as needed.
Consider the following example:
\n\nfrom sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n class Tokenizer(Tokenizer):\n QUOTES = ["'", '"']\n IDENTIFIERS = ["`"]\n\n KEYWORDS = {\n **Tokenizer.KEYWORDS,\n "INT64": TokenType.BIGINT,\n "FLOAT64": TokenType.DOUBLE,\n }\n\n class Generator(Generator):\n TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n TYPE_MAPPING = {\n exp.DataType.Type.TINYINT: "INT64",\n exp.DataType.Type.SMALLINT: "INT64",\n exp.DataType.Type.INT: "INT64",\n exp.DataType.Type.BIGINT: "INT64",\n exp.DataType.Type.DECIMAL: "NUMERIC",\n exp.DataType.Type.FLOAT: "FLOAT64",\n exp.DataType.Type.DOUBLE: "FLOAT64",\n exp.DataType.Type.BOOLEAN: "BOOL",\n exp.DataType.Type.TEXT: "STRING",\n }\n
\nThis is a typical example of adding a new dialect implementation in SQLGlot: we specify its identifier and string\ndelimiters, as well as what tokens it uses for its types and how they're associated with SQLGlot types. Since\nthe Expression
classes are common for each dialect supported in SQLGlot, we may also need to override the generation\nlogic for some expressions; this is usually done by adding new entries to the TRANSFORMS
mapping.
Supports BigQuery Standard SQL.
\n"}, "sqlglot.dialects.bigquery.BigQuery": {"fullname": "sqlglot.dialects.bigquery.BigQuery", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery", "kind": "class", "doc": "\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Tokenizer", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Tokenizer", "kind": "class", "doc": "\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Parser", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Parser", "kind": "class", "doc": "Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nAn enumeration.
\n", "bases": "builtins.str, enum.Enum"}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"fullname": "sqlglot.dialects.dialect.Dialects.DIALECT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DIALECT", "kind": "variable", "doc": "\n", "default_value": "<Dialects.DIALECT: ''>"}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"fullname": "sqlglot.dialects.dialect.Dialects.BIGQUERY", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.BIGQUERY", "kind": "variable", "doc": "\n", "default_value": "<Dialects.BIGQUERY: 'bigquery'>"}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"fullname": "sqlglot.dialects.dialect.Dialects.CLICKHOUSE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.CLICKHOUSE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.CLICKHOUSE: 'clickhouse'>"}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"fullname": "sqlglot.dialects.dialect.Dialects.DUCKDB", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DUCKDB", "kind": "variable", "doc": "\n", "default_value": "<Dialects.DUCKDB: 'duckdb'>"}, "sqlglot.dialects.dialect.Dialects.HIVE": {"fullname": "sqlglot.dialects.dialect.Dialects.HIVE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.HIVE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.HIVE: 'hive'>"}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.MYSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.MYSQL", "kind": "variable", "doc": "\n", "default_value": "<Dialects.MYSQL: 'mysql'>"}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"fullname": "sqlglot.dialects.dialect.Dialects.ORACLE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.ORACLE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.ORACLE: 'oracle'>"}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"fullname": "sqlglot.dialects.dialect.Dialects.POSTGRES", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.POSTGRES", "kind": "variable", "doc": "\n", "default_value": "<Dialects.POSTGRES: 'postgres'>"}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"fullname": "sqlglot.dialects.dialect.Dialects.PRESTO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.PRESTO", "kind": "variable", "doc": "\n", "default_value": "<Dialects.PRESTO: 'presto'>"}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"fullname": "sqlglot.dialects.dialect.Dialects.REDSHIFT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.REDSHIFT", "kind": "variable", "doc": "\n", "default_value": "<Dialects.REDSHIFT: 'redshift'>"}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"fullname": "sqlglot.dialects.dialect.Dialects.SNOWFLAKE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SNOWFLAKE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.SNOWFLAKE: 'snowflake'>"}, "sqlglot.dialects.dialect.Dialects.SPARK": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK", "kind": "variable", "doc": "\n", "default_value": "<Dialects.SPARK: 'spark'>"}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"fullname": "sqlglot.dialects.dialect.Dialects.SQLITE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SQLITE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.SQLITE: 'sqlite'>"}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"fullname": "sqlglot.dialects.dialect.Dialects.STARROCKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.STARROCKS", "kind": "variable", "doc": "\n", "default_value": "<Dialects.STARROCKS: 'starrocks'>"}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"fullname": "sqlglot.dialects.dialect.Dialects.TABLEAU", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TABLEAU", "kind": "variable", "doc": "\n", "default_value": "<Dialects.TABLEAU: 'tableau'>"}, "sqlglot.dialects.dialect.Dialects.TRINO": {"fullname": "sqlglot.dialects.dialect.Dialects.TRINO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TRINO", "kind": "variable", "doc": "\n", "default_value": "<Dialects.TRINO: 'trino'>"}, "sqlglot.dialects.dialect.Dialects.TSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.TSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TSQL", "kind": "variable", "doc": "\n", "default_value": "<Dialects.TSQL: 'tsql'>"}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"fullname": "sqlglot.dialects.dialect.Dialects.DATABRICKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DATABRICKS", "kind": "variable", "doc": "\n", "default_value": "<Dialects.DATABRICKS: 'databricks'>"}, "sqlglot.dialects.dialect.Dialects.DRILL": {"fullname": "sqlglot.dialects.dialect.Dialects.DRILL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DRILL", "kind": "variable", "doc": "\n", "default_value": "<Dialects.DRILL: 'drill'>"}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"fullname": "sqlglot.dialects.dialect.Dialects.TERADATA", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TERADATA", "kind": "variable", "doc": "\n", "default_value": "<Dialects.TERADATA: 'teradata'>"}, "sqlglot.dialects.dialect.Dialect": {"fullname": "sqlglot.dialects.dialect.Dialect", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect", "kind": "class", "doc": "\n"}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"fullname": "sqlglot.dialects.dialect.Dialect.get_or_raise", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.get_or_raise", "kind": "function", "doc": "\n", "signature": "(\tcls,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> Type[sqlglot.dialects.dialect.Dialect]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.format_time": {"fullname": "sqlglot.dialects.dialect.Dialect.format_time", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.format_time", "kind": "function", "doc": "\n", "signature": "(\tcls,\texpression: Union[str, sqlglot.expressions.Expression, NoneType]) -> Optional[sqlglot.expressions.Expression]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse": {"fullname": "sqlglot.dialects.dialect.Dialect.parse", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse", "kind": "function", "doc": "\n", "signature": "(self, sql: str, **opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse_into": {"fullname": "sqlglot.dialects.dialect.Dialect.parse_into", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse_into", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression_type: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\tsql: str,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generate": {"fullname": "sqlglot.dialects.dialect.Dialect.generate", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generate", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\t**opts) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.transpile": {"fullname": "sqlglot.dialects.dialect.Dialect.transpile", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.transpile", "kind": "function", "doc": "\n", "signature": "(self, sql: str, **opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.tokenize": {"fullname": "sqlglot.dialects.dialect.Dialect.tokenize", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.tokenize", "kind": "function", "doc": "\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parser": {"fullname": "sqlglot.dialects.dialect.Dialect.parser", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parser", "kind": "function", "doc": "\n", "signature": "(self, **opts) -> sqlglot.parser.Parser:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generator": {"fullname": "sqlglot.dialects.dialect.Dialect.generator", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generator", "kind": "function", "doc": "\n", "signature": "(self, **opts) -> sqlglot.generator.Generator:", "funcdef": "def"}, "sqlglot.dialects.dialect.rename_func": {"fullname": "sqlglot.dialects.dialect.rename_func", "modulename": "sqlglot.dialects.dialect", "qualname": "rename_func", "kind": "function", "doc": "\n", "signature": "(\tname: str) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"fullname": "sqlglot.dialects.dialect.approx_count_distinct_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "approx_count_distinct_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ApproxDistinct) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.if_sql": {"fullname": "sqlglot.dialects.dialect.if_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "if_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtract | sqlglot.expressions.JSONBExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_scalar_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtractScalar | sqlglot.expressions.JSONBExtractScalar) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.inline_array_sql": {"fullname": "sqlglot.dialects.dialect.inline_array_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "inline_array_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_ilike_sql": {"fullname": "sqlglot.dialects.dialect.no_ilike_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_ilike_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"fullname": "sqlglot.dialects.dialect.no_paren_current_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_paren_current_date_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"fullname": "sqlglot.dialects.dialect.no_recursive_cte_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_recursive_cte_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"fullname": "sqlglot.dialects.dialect.no_safe_divide_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_safe_divide_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.SafeDivide) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_tablesample_sql": {"fullname": "sqlglot.dialects.dialect.no_tablesample_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_tablesample_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_pivot_sql": {"fullname": "sqlglot.dialects.dialect.no_pivot_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_pivot_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_trycast_sql": {"fullname": "sqlglot.dialects.dialect.no_trycast_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_trycast_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_properties_sql": {"fullname": "sqlglot.dialects.dialect.no_properties_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_properties_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"fullname": "sqlglot.dialects.dialect.no_comment_column_constraint_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_comment_column_constraint_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CommentColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_position_sql": {"fullname": "sqlglot.dialects.dialect.str_position_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_position_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.struct_extract_sql": {"fullname": "sqlglot.dialects.dialect.struct_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "struct_extract_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StructExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.var_map_sql": {"fullname": "sqlglot.dialects.dialect.var_map_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "var_map_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Map | sqlglot.expressions.VarMap,\tmap_func_name: str = 'MAP') -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.format_time_lambda": {"fullname": "sqlglot.dialects.dialect.format_time_lambda", "modulename": "sqlglot.dialects.dialect", "qualname": "format_time_lambda", "kind": "function", "doc": "Helper used for time expressions.
\n\n\n\n", "signature": "(\texp_class: Type[~E],\tdialect: str,\tdefault: Union[bool, str, NoneType] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"fullname": "sqlglot.dialects.dialect.create_with_partitions_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "create_with_partitions_sql", "kind": "function", "doc": "A callable that can be used to return the appropriately formatted time expression.
\n
In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the\nPARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding\ncolumns are removed from the create statement.
\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta": {"fullname": "sqlglot.dialects.dialect.parse_date_delta", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta", "kind": "function", "doc": "\n", "signature": "(\texp_class: Type[~E],\tunit_mapping: Optional[Dict[str, str]] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"fullname": "sqlglot.dialects.dialect.parse_date_delta_with_interval", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta_with_interval", "kind": "function", "doc": "\n", "signature": "(expression_class: Type[~E]) -> Callable[[Sequence], Optional[~E]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.date_trunc_to_time": {"fullname": "sqlglot.dialects.dialect.date_trunc_to_time", "modulename": "sqlglot.dialects.dialect", "qualname": "date_trunc_to_time", "kind": "function", "doc": "\n", "signature": "(\targs: Sequence) -> sqlglot.expressions.DateTrunc | sqlglot.expressions.TimestampTrunc:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"fullname": "sqlglot.dialects.dialect.timestamptrunc_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestamptrunc_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimestampTrunc) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.locate_to_strposition": {"fullname": "sqlglot.dialects.dialect.locate_to_strposition", "modulename": "sqlglot.dialects.dialect", "qualname": "locate_to_strposition", "kind": "function", "doc": "\n", "signature": "(args: Sequence) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"fullname": "sqlglot.dialects.dialect.strposition_to_locate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "strposition_to_locate_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestrtotime_sql": {"fullname": "sqlglot.dialects.dialect.timestrtotime_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestrtotime_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimeStrToTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.datestrtodate_sql": {"fullname": "sqlglot.dialects.dialect.datestrtodate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "datestrtodate_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateStrToDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.min_or_least": {"fullname": "sqlglot.dialects.dialect.min_or_least", "modulename": "sqlglot.dialects.dialect", "qualname": "min_or_least", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Min) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.max_or_greatest": {"fullname": "sqlglot.dialects.dialect.max_or_greatest", "modulename": "sqlglot.dialects.dialect", "qualname": "max_or_greatest", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Max) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.count_if_to_sum": {"fullname": "sqlglot.dialects.dialect.count_if_to_sum", "modulename": "sqlglot.dialects.dialect", "qualname": "count_if_to_sum", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CountIf) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.trim_sql": {"fullname": "sqlglot.dialects.dialect.trim_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "trim_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_to_time_sql": {"fullname": "sqlglot.dialects.dialect.str_to_time_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_to_time_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"fullname": "sqlglot.dialects.dialect.ts_or_ds_to_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "ts_or_ds_to_date_sql", "kind": "function", "doc": "\n", "signature": "(dialect: str) -> Callable:", "funcdef": "def"}, "sqlglot.dialects.drill": {"fullname": "sqlglot.dialects.drill", "modulename": "sqlglot.dialects.drill", "kind": "module", "doc": "\n"}, "sqlglot.dialects.drill.Drill": {"fullname": "sqlglot.dialects.drill.Drill", "modulename": "sqlglot.dialects.drill", "qualname": "Drill", "kind": "class", "doc": "\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.drill.Drill.Tokenizer": {"fullname": "sqlglot.dialects.drill.Drill.Tokenizer", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Tokenizer", "kind": "class", "doc": "\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.drill.Drill.Parser": {"fullname": "sqlglot.dialects.drill.Drill.Parser", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Parser", "kind": "class", "doc": "Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nConverts VALUES...
expression into a series of unions.
Note: If you have a lot of unions then this will result in a large number of recursive statements to\nevaluate the expression. You may need to increase sys.setrecursionlimit
to run and it can also be\nvery slow.
Redshift doesn't have WITH
as part of their with_properties so we remove it
Redshift only supports defining the table name itself (not the db) when renaming tables
\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.datatype_sql", "kind": "function", "doc": "Redshift converts the TEXT
data type to VARCHAR(255)
by default when people more generally mean\nVARCHAR of max length which is VARCHAR(max)
in Redshift. Therefore if we get a TEXT
data type\nwithout precision we convert it to VARCHAR(max)
and if it does have precision then we just convert\nTEXT
to VARCHAR
.
Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nDue to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
\n\nWe also want to make sure that after we find matches where we need to unquote a column that we prevent users\nfrom adding quotes to the column by using the identify
argument when generating the SQL.
Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also\nthat all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need\nto unquote a column that we prevent users from adding quotes to the column by using the identify
argument when\ngenerating the SQL.
Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the\nexpression. This might not be true in a case where the same column name can be sourced from another table that can\nproperly quote but should be true in most cases.
\n", "signature": "(self, expression: sqlglot.expressions.Select) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.describe_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark": {"fullname": "sqlglot.dialects.spark", "modulename": "sqlglot.dialects.spark", "kind": "module", "doc": "\n"}, "sqlglot.dialects.spark.Spark": {"fullname": "sqlglot.dialects.spark.Spark", "modulename": "sqlglot.dialects.spark", "qualname": "Spark", "kind": "class", "doc": "\n", "bases": "sqlglot.dialects.hive.Hive"}, "sqlglot.dialects.spark.Spark.Parser": {"fullname": "sqlglot.dialects.spark.Spark.Parser", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Parser", "kind": "class", "doc": "Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nGenerator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nGenerator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nSoftware is constantly changing and evolving, and identifying what has changed and reviewing those changes is an integral part of the development process. SQL code is no exception to this.
\n\nText-based diff tools such as git diff
, when applied to a code base, have certain limitations. First, they can only detect insertions and deletions, not movements or updates of individual pieces of code. Second, such tools can only detect changes between lines of text, which is too coarse for something as granular and detailed as source code. Additionally, the outcome of such a diff is dependent on the underlying code formatting, and yields different results if the formatting should change.
Consider the following diff generated by Git:
\n\n\n\nSemantically the query hasn\u2019t changed. The two arguments b
and c
have been swapped (moved), posing no impact on the output of the query. Yet Git replaced the whole affected expression alongside a bulk of unrelated elements.
The alternative to text-based diffing is to compare Abstract Syntax Trees (AST) instead. The main advantage of ASTs are that they are a direct product of code parsing, which represents the underlying code structure at any desired level of granularity. Comparing ASTs may yield extremely precise diffs; changes such as code movements and updates can also be detected. Even more importantly, this approach facilitates additional use cases beyond eyeballing two versions of source code side by side.
\n\nThe use cases I had in mind for SQL when I decided to embark on this journey of semantic diffing were the following:
\n\nThe implementation discussed in this post is now a part of the SQLGlot library. You can find a complete source code in the diff.py module. The choice of SQLglot was an obvious one due to its simple but powerful API, lack of external dependencies and, more importantly, extensive list of supported SQL dialects.
\n\nWhen it comes to any diffing tool (not just a semantic one), the primary challenge is to match as many elements of compared entities as possible. Once such a set of matching elements is available, deriving a sequence of changes becomes an easy task.
\n\nIf our elements have unique identifiers associated with them (for example, an element\u2019s ID in DOM), the matching problem is trivial. However, the SQL syntax trees that we are comparing have neither unique keys nor object identifiers that can be used for the purposes of matching. So, how do we suppose to find pairs of nodes that are related?
\n\nTo better illustrate the problem, consider comparing the following SQL expressions: SELECT a + b + c, d, e
and SELECT a - b + c, e, f
. Matching individual nodes from respective syntax trees can be visualized as follows:
\nFigure 1: Example of node matching for two SQL expression trees.
\n\nBy looking at the figure of node matching for two SQL expression trees above, we conclude that the following changes should be captured by our solution:
\n\nSub
and f
. These are the nodes from the target AST which do not have a matching node in the source AST.Add
and d
. These are the nodes from the source AST which do not have a counterpart in the target AST.It should be clear at this point that if we manage to match nodes in the source tree with their counterparts in the target tree, then computing the diff becomes a trivial matter.
\n\nThe na\u00efve solution would be to try all different permutations of node pair combinations, and see which set of pairs performs the best based on some type of heuristics. The runtime cost of such a solution quickly reaches the escape velocity; if both trees had only 10 nodes each, the number of such sets would approximately be 10! ^ 2 = 3.6M ^ 2 ~= 13 * 10^12. This is a very bad case of factorial complexity (to be precise, it\u2019s actually much worse - O(n! ^ 2) - but I couldn\u2019t come up with a name for it), so there is little need to explore this approach any further.
\n\nAfter the na\u00efve approach was proven to be infeasible, the next question I asked myself was \u201chow does git diff work?\u201d. This question led me to discover the Myers diff algorithm [1]. This algorithm has been designed to compare sequences of strings. At its core, it\u2019s looking for the shortest path on a graph of possible edits that transform the first sequence into the second one, while heavily rewarding those paths that lead to longest subsequences of unchanged elements. There\u2019s a lot of material out there describing this algorithm in greater detail. I found James Coglan\u2019s series of blog posts to be the most comprehensive.
\n\nTherefore, I had this \u201cbrilliant\u201d (actually not) idea to transform trees into sequences by traversing them in topological order, and then applying the Myers algorithm on resulting sequences while using a custom heuristics when checking the equality of two nodes. Unsurprisingly, comparing sequences of strings is quite different from comparing hierarchical tree structures, and by flattening trees into sequences, we lose a lot of relevant context. This resulted in a terrible performance of this algorithm on ASTs. It often matched completely unrelated nodes, even when the two trees were mostly the same, and produced extremely inaccurate lists of changes overall. After playing around with it a little and tweaking my equality heuristics to improve accuracy, I ultimately scrapped the whole implementation and went back to the drawing board.
\n\nThe algorithm I settled on at the end was Change Distiller, created by Fluri et al. [2], which in turn is an improvement over the core idea described by Chawathe et al. [3].
\n\nThe algorithm consists of two high-level steps:
\n\nThe rest of this section is dedicated to the Python implementation of the steps above using the AST implementation provided by the SQLGlot library.
\n\nWe begin composing the matching set by matching the leaf nodes. Leaf nodes are the nodes that do not have any children nodes (such as literals, identifiers, etc.). In order to match them, we gather all the leaf nodes from the source tree and generate a cartesian product with all the leaves from the target tree, while comparing pairs created this way and assigning them a similarity score. During this stage, we also exclude pairs that don\u2019t pass basic matching criteria. Then, we pick pairs that scored the highest while making sure that each node is matched no more than once.
\n\nUsing the example provided at the beginning of the post, the process of building an initial set of candidate matchings can be seen on Figure 2.
\n\n\nFigure 2: Building a set of candidate matchings between leaf nodes. The third item in each triplet represents a similarity score between two nodes.
\n\nFirst, let\u2019s analyze the similarity score. Then, we\u2019ll discuss matching criteria.
\n\nThe similarity score proposed by Fluri et al. [2] is a dice coefficient applied to bigrams of respective node values. A bigram is a sequence of two adjacent elements from a string computed in a sliding window fashion:
\n\ndef bigram(string):\n count = max(0, len(string) - 1)\n return [string[i : i + 2] for i in range(count)]\n
\nFor reasons that will become clear shortly, we actually need to compute bigram histograms rather than just sequences:
\n\nfrom collections import defaultdict\n\ndef bigram_histo(string):\n count = max(0, len(string) - 1)\n bigram_histo = defaultdict(int)\n for i in range(count):\n bigram_histo[string[i : i + 2]] += 1\n return bigram_histo\n
\nThe dice coefficient formula looks like following:
\n\n\n\nWhere X is a bigram of the source node and Y is a bigram of the second one. What this essentially does is count the number of bigram elements the two nodes have in common, multiply it by 2, and then divide by the total number of elements in both bigrams. This is where bigram histograms come in handy:
\n\ndef dice_coefficient(source, target):\n source_histo = bigram_histo(source.sql())\n target_histo = bigram_histo(target.sql())\n\n total_grams = (\n sum(source_histo.values()) + sum(target_histo.values())\n )\n if not total_grams:\n return 1.0 if source == target else 0.0\n\n overlap_len = 0\n overlapping_grams = set(source_histo) & set(target_histo)\n for g in overlapping_grams:\n overlap_len += min(source_histo[g], target_histo[g])\n\n return 2 * overlap_len / total_grams\n
\nTo compute a bigram given a tree node, we first transform the node into its canonical SQL representation,so that the Literal(123)
node becomes just \u201c123\u201d and the Identifier(\u201ca\u201d)
node becomes just \u201ca\u201d. We also handle a scenario when strings are too short to derive bigrams. In this case, we fallback to checking the two nodes for equality.
Now when we know how to compute the similarity score, we can take care of the matching criteria for leaf nodes. In the original paper [2], the matching criteria is formalized as follows:
\n\n\n\nThe two nodes are matched if two conditions are met:
\n\nWith building blocks in place, we can now build a matching set for leaf nodes. First, we generate a list of candidates for matching:
\n\nfrom heapq import heappush, heappop\n\ncandidate_matchings = []\nsource_leaves = _get_leaves(self._source)\ntarget_leaves = _get_leaves(self._target)\nfor source_leaf in source_leaves:\n for target_leaf in target_leaves:\n if _is_same_type(source_leaf, target_leaf):\n similarity_score = dice_coefficient(\n source_leaf, target_leaf\n )\n if similarity_score >= 0.6:\n heappush(\n candidate_matchings,\n (\n -similarity_score,\n len(candidate_matchings),\n source_leaf,\n target_leaf,\n ),\n )\n
\nIn the implementation above, we push each matching pair onto the heap to automatically maintain the correct order based on the assigned similarity score.
\n\nFinally, we build the initial matching set by picking leaf pairs with the highest score:
\n\nmatching_set = set()\nwhile candidate_matchings:\n _, _, source_leaf, target_leaf = heappop(candidate_matchings)\n if (\n source_leaf in unmatched_source_nodes\n and target_leaf in unmatched_target_nodes\n ):\n matching_set.add((source_leaf, target_leaf))\n unmatched_source_nodes.remove(source_leaf)\n unmatched_target_nodes.remove(target_leaf)\n
\nTo finalize the matching set, we should now proceed with matching inner nodes.
\n\nMatching inner nodes is quite similar to matching leaf nodes, with the following two distinctions:
\n\n\nFigure 3: Matching inner nodes based on their type as well as how many of their leaf nodes have been previously matched.
\n\nLet\u2019s start with the matching criteria. The criteria is formalized as follows:
\n\n\n\nAlongside already familiar similarity score and node type criteria, there is a new one in the middle: the ratio of leaf nodes that the two nodes have in common must exceed some threshold \u201ct\u201d. The recommended value for \u201ct\u201d is also 0.6. Counting the number of common leaf nodes is pretty straightforward, since we already have the complete matching set for leaves. All we need to do is count how many matching pairs do leaf nodes from the two compared inner nodes form.
\n\nThere are two additional heuristics associated with this matching criteria:
\n\nWe now only have to iterate through the remaining unmatched nodes and form matching pairs based on the outlined criteria:
\n\nleaves_matching_set = matching_set.copy()\n\nfor source_node in unmatched_source_nodes.copy():\n for target_node in unmatched_target_nodes:\n if _is_same_type(source_node, target_node):\n source_leaves = set(_get_leaves(source_node))\n target_leaves = set(_get_leaves(target_node))\n\n max_leaves_num = max(len(source_leaves), len(target_leaves))\n if max_leaves_num:\n common_leaves_num = sum(\n 1 if s in source_leaves and t in target_leaves else 0\n for s, t in leaves_matching_set\n )\n leaf_similarity_score = common_leaves_num / max_leaves_num\n else:\n leaf_similarity_score = 0.0\n\n adjusted_t = (\n 0.6\n if min(len(source_leaves), len(target_leaves)) > 4\n else 0.4\n )\n\n if leaf_similarity_score >= 0.8 or (\n leaf_similarity_score >= adjusted_t\n and dice_coefficient(source_node, target_node) >= 0.6\n ):\n matching_set.add((source_node, target_node))\n unmatched_source_nodes.remove(source_node)\n unmatched_target_nodes.remove(target_node)\n break\n
\nAfter the matching set is formed, we can proceed with generation of the edit script, which will be the algorithm\u2019s output.
\n\nAt this point, we should have the following 3 sets at our disposal:
\n\nWe can derive 3 kinds of edits from the matching set: either the node\u2019s value was updated (Update), the node was moved to a different position within the tree (Move), or the node remained unchanged (Keep). Note that the Move case is not mutually exclusive with the other two. The node could have been updated or could have remained the same while at the same time its position within its parent node or the parent node itself could have changed. All unmatched nodes from the source tree are the ones that were removed (Remove), while unmatched nodes from the target tree are the ones that were inserted (Insert).
\n\nThe latter two cases are pretty straightforward to implement:
\n\nedit_script = []\n\nfor removed_node in unmatched_source_nodes:\n edit_script.append(Remove(removed_node))\nfor inserted_node in unmatched_target_nodes:\n edit_script.append(Insert(inserted_node))\n
\nTraversing the matching set requires a little more thought:
\n\nfor source_node, target_node in matching_set:\n if (\n not isinstance(source_node, LEAF_EXPRESSION_TYPES)\n or source_node == target_node\n ):\n move_edits = generate_move_edits(\n source_node, target_node, matching_set\n )\n edit_script.extend(move_edits)\n edit_script.append(Keep(source_node, target_node))\n else:\n edit_script.append(Update(source_node, target_node))\n
\nIf a matching pair represents a pair of leaf nodes, we check if they are the same to decide whether an update took place. For inner node pairs, we also need to compare the positions of their respective children to detect node movements. Chawathe et al. [3] suggest applying the longest common subsequence (LCS) algorithm which, no surprise here, was described by Myers himself [1]. There is a small catch, however: instead of checking the equality of two children nodes, we need to check whether the two nodes form a pair that is a part of our matching set.
\n\nNow with this knowledge, the implementation becomes straightforward:
\n\ndef generate_move_edits(source, target, matching_set):\n source_children = _get_child_nodes(source)\n target_children = _get_child_nodes(target)\n\n lcs = set(\n _longest_common_subsequence(\n source_children,\n target_children,\n lambda l, r: (l, r) in matching_set\n )\n )\n\n move_edits = []\n for node in source_children:\n if node not in lcs and node not in unmatched_source_nodes:\n move_edits.append(Move(node))\n\n return move_edits\n
\nI left out the implementation of the LCS algorithm itself here, but there are plenty of implementation choices out there that can be easily looked up.
\n\nThe implemented algorithm produces the output that resembles the following:
\n\n>>> from sqlglot import parse_one, diff\n>>> diff(parse_one("SELECT a + b + c, d, e"), parse_one("SELECT a - b + c, e, f"))\n\nRemove(Add)\nRemove(Column(d))\nRemove(Identifier(d))\nInsert(Sub)\nInsert(Column(f))\nInsert(Identifier(f))\nKeep(Select, Select)\nKeep(Add, Add)\nKeep(Column(a), Column(a))\nKeep(Identifier(a), Identifier(a))\nKeep(Column(b), Column(b))\nKeep(Identifier(b), Identifier(b))\nKeep(Column(c), Column(c))\nKeep(Identifier(c), Identifier(c))\nKeep(Column(e), Column(e))\nKeep(Identifier(e), Identifier(e))\n
\nNote that the output above is abbreviated. The string representation of actual AST nodes is significantly more verbose.
\n\nThe implementation works especially well when coupled with the SQLGlot\u2019s query optimizer which can be used to produce canonical representations of compared queries:
\n\n>>> schema={"t": {"a": "INT", "b": "INT", "c": "INT", "d": "INT"}}\n>>> source = """\n... SELECT 1 + 1 + a\n... FROM t\n... WHERE b = 1 OR (c = 2 AND d = 3)\n... """\n>>> target = """\n... SELECT 2 + a\n... FROM t\n... WHERE (b = 1 OR c = 2) AND (b = 1 OR d = 3)\n... """\n>>> optimized_source = optimize(parse_one(source), schema=schema)\n>>> optimized_target = optimize(parse_one(target), schema=schema)\n>>> edit_script = diff(optimized_source, optimized_target)\n>>> sum(0 if isinstance(e, Keep) else 1 for e in edit_script)\n0\n
\nThe worst case runtime complexity of this algorithm is not exactly stellar: O(n^2 * log n^2). This is because of the leaf matching process, which involves ranking a cartesian product between all leaf nodes of compared trees. Unsurprisingly, the algorithm takes a considerable time to finish for bigger queries.
\n\nThere are still a few basic things we can do in our implementation to help improve performance:
\n\nAt the time of writing only the first two optimizations have been implemented, so there is an opportunity to contribute for anyone who\u2019s interested.
\n\nThis section is dedicated to solutions that I\u2019ve investigated, but haven\u2019t tried.
\n\nFirst, this section wouldn\u2019t be complete without Tristan Hume\u2019s blog post. Tristan\u2019s solution has a lot in common with the Myers algorithm plus heuristics that is much more clever than what I came up with. The implementation relies on a combination of dynamic programming and A* search algorithm to explore the space of possible matchings and pick the best ones. It seemed to have worked well for Tistan\u2019s specific use case, but after my negative experience with the Myers algorithm, I decided to try something different.
\n\nAnother notable approach is the Gumtree algorithm by Falleri et al. [4]. I discovered this paper after I\u2019d already implemented the algorithm that is the main focus of this post. In sections 5.2 and 5.3 of their paper, the authors compare the two algorithms side by side and claim that Gumtree is significantly better in terms of both runtime performance and accuracy when evaluated on 12 792 pairs of Java source files. This doesn\u2019t surprise me, as the algorithm takes the height of subtrees into account. In my tests, I definitely saw scenarios in which this context would have helped. On top of that, the authors promise O(n^2) runtime complexity in the worst case which, given the Change Distiller's O(n^2 * log n^2), looks particularly tempting. I hope to try this algorithm out at some point, and there is a good chance you see me writing about it in my future posts.
\n\nThe Change Distiller algorithm yielded quite satisfactory results in most of my tests. The scenarios in which it fell short mostly concerned identical (or very similar) subtrees located in different parts of the AST. In those cases, node mismatches were frequent and, as a result, edit scripts were somewhat suboptimal.
\n\nAdditionally, the runtime performance of the algorithm leaves a lot to be desired. On trees with 1000 leaf nodes each, the algorithm takes a little under 2 seconds to complete. My implementation still has room for improvement, but this should give you a rough idea of what to expect. It appears that the Gumtree algorithm [4] can help address both of these points. I hope to find bandwidth to work on it soon and then compare the two algorithms side-by-side to find out which one performs better on SQL specifically. In the meantime, Change Distiller definitely gets the job done, and I can now proceed with applying it to some of the use cases I mentioned at the beginning of this post.
\n\nI\u2019m also curious to learn whether other folks in the industry faced a similar problem, and how they approached it. If you did something similar, I\u2019m interested to hear about your experience.
\n\n[1] Eugene W. Myers. An O(ND) Difference Algorithm and Its Variations. Algorithmica 1(2): 251-266 (1986)
\n\n[2] B. Fluri, M. Wursch, M. Pinzger, and H. Gall. Change Distilling: Tree differencing for fine-grained source code change extraction. IEEE Trans. Software Eng., 33(11):725\u2013743, 2007.
\n\n[3] S.S. Chawathe, A. Rajaraman, H. Garcia-Molina, and J. Widom. Change Detection in Hierarchically Structured Information. Proc. ACM Sigmod Int\u2019l Conf. Management of Data, pp. 493-504, June 1996
\n\n[4] Jean-R\u00e9my Falleri, Flor\u00e9al Morandat, Xavier Blanc, Matias Martinez, Martin Monperrus. Fine-grained and Accurate Source Code Differencing. Proceedings of the International Conference on Automated Software Engineering, 2014, V\u00e4steras, Sweden. pp.313-324, 10.1145/2642937.2642982. hal-01054552
\n\nIndicates that a new node has been inserted
\n"}, "sqlglot.diff.Insert.__init__": {"fullname": "sqlglot.diff.Insert.__init__", "modulename": "sqlglot.diff", "qualname": "Insert.__init__", "kind": "function", "doc": "\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Remove": {"fullname": "sqlglot.diff.Remove", "modulename": "sqlglot.diff", "qualname": "Remove", "kind": "class", "doc": "Indicates that an existing node has been removed
\n"}, "sqlglot.diff.Remove.__init__": {"fullname": "sqlglot.diff.Remove.__init__", "modulename": "sqlglot.diff", "qualname": "Remove.__init__", "kind": "function", "doc": "\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Move": {"fullname": "sqlglot.diff.Move", "modulename": "sqlglot.diff", "qualname": "Move", "kind": "class", "doc": "Indicates that an existing node's position within the tree has changed
\n"}, "sqlglot.diff.Move.__init__": {"fullname": "sqlglot.diff.Move.__init__", "modulename": "sqlglot.diff", "qualname": "Move.__init__", "kind": "function", "doc": "\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Update": {"fullname": "sqlglot.diff.Update", "modulename": "sqlglot.diff", "qualname": "Update", "kind": "class", "doc": "Indicates that an existing node has been updated
\n"}, "sqlglot.diff.Update.__init__": {"fullname": "sqlglot.diff.Update.__init__", "modulename": "sqlglot.diff", "qualname": "Update.__init__", "kind": "function", "doc": "\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.Keep": {"fullname": "sqlglot.diff.Keep", "modulename": "sqlglot.diff", "qualname": "Keep", "kind": "class", "doc": "Indicates that an existing node hasn't been changed
\n"}, "sqlglot.diff.Keep.__init__": {"fullname": "sqlglot.diff.Keep.__init__", "modulename": "sqlglot.diff", "qualname": "Keep.__init__", "kind": "function", "doc": "\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.diff": {"fullname": "sqlglot.diff.diff", "modulename": "sqlglot.diff", "qualname": "diff", "kind": "function", "doc": "Returns the list of changes between the source and the target expressions.
\n\n\n\n\n\n\n\n>>> diff(parse_one("a + b"), parse_one("a + c"))\n[\n Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),\n Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),\n Keep(\n source=(ADD this: ...),\n target=(ADD this: ...)\n ),\n Keep(\n source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),\n target=(COLUMN this: (IDENTIFIER this: a, quoted: False))\n ),\n]\n
\n\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None,\t**kwargs: Any) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.diff.ChangeDistiller": {"fullname": "sqlglot.diff.ChangeDistiller", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller", "kind": "class", "doc": "the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the\n target expression trees. This list represents a sequence of steps needed to transform the source\n expression tree into the target one.
\n
The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in\ntheir paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by\nChawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.
\n"}, "sqlglot.diff.ChangeDistiller.__init__": {"fullname": "sqlglot.diff.ChangeDistiller.__init__", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.__init__", "kind": "function", "doc": "\n", "signature": "(f: float = 0.6, t: float = 0.6)"}, "sqlglot.diff.ChangeDistiller.diff": {"fullname": "sqlglot.diff.ChangeDistiller.diff", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.diff", "kind": "function", "doc": "\n", "signature": "(\tself,\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.errors": {"fullname": "sqlglot.errors", "modulename": "sqlglot.errors", "kind": "module", "doc": "\n"}, "sqlglot.errors.ErrorLevel": {"fullname": "sqlglot.errors.ErrorLevel", "modulename": "sqlglot.errors", "qualname": "ErrorLevel", "kind": "class", "doc": "An enumeration.
\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.errors.ErrorLevel.IGNORE": {"fullname": "sqlglot.errors.ErrorLevel.IGNORE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IGNORE", "kind": "variable", "doc": "Ignore all errors.
\n", "default_value": "<ErrorLevel.IGNORE: 'IGNORE'>"}, "sqlglot.errors.ErrorLevel.WARN": {"fullname": "sqlglot.errors.ErrorLevel.WARN", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.WARN", "kind": "variable", "doc": "Log all errors.
\n", "default_value": "<ErrorLevel.WARN: 'WARN'>"}, "sqlglot.errors.ErrorLevel.RAISE": {"fullname": "sqlglot.errors.ErrorLevel.RAISE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.RAISE", "kind": "variable", "doc": "Collect all errors and raise a single exception.
\n", "default_value": "<ErrorLevel.RAISE: 'RAISE'>"}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"fullname": "sqlglot.errors.ErrorLevel.IMMEDIATE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IMMEDIATE", "kind": "variable", "doc": "Immediately raise an exception on the first error found.
\n", "default_value": "<ErrorLevel.IMMEDIATE: 'IMMEDIATE'>"}, "sqlglot.errors.SqlglotError": {"fullname": "sqlglot.errors.SqlglotError", "modulename": "sqlglot.errors", "qualname": "SqlglotError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "builtins.Exception"}, "sqlglot.errors.UnsupportedError": {"fullname": "sqlglot.errors.UnsupportedError", "modulename": "sqlglot.errors", "qualname": "UnsupportedError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError": {"fullname": "sqlglot.errors.ParseError", "modulename": "sqlglot.errors", "qualname": "ParseError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError.__init__": {"fullname": "sqlglot.errors.ParseError.__init__", "modulename": "sqlglot.errors", "qualname": "ParseError.__init__", "kind": "function", "doc": "\n", "signature": "(message: str, errors: Optional[List[Dict[str, Any]]] = None)"}, "sqlglot.errors.ParseError.new": {"fullname": "sqlglot.errors.ParseError.new", "modulename": "sqlglot.errors", "qualname": "ParseError.new", "kind": "function", "doc": "\n", "signature": "(\tcls,\tmessage: str,\tdescription: Optional[str] = None,\tline: Optional[int] = None,\tcol: Optional[int] = None,\tstart_context: Optional[str] = None,\thighlight: Optional[str] = None,\tend_context: Optional[str] = None,\tinto_expression: Optional[str] = None) -> sqlglot.errors.ParseError:", "funcdef": "def"}, "sqlglot.errors.TokenError": {"fullname": "sqlglot.errors.TokenError", "modulename": "sqlglot.errors", "qualname": "TokenError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.OptimizeError": {"fullname": "sqlglot.errors.OptimizeError", "modulename": "sqlglot.errors", "qualname": "OptimizeError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.SchemaError": {"fullname": "sqlglot.errors.SchemaError", "modulename": "sqlglot.errors", "qualname": "SchemaError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.ExecuteError": {"fullname": "sqlglot.errors.ExecuteError", "modulename": "sqlglot.errors", "qualname": "ExecuteError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.concat_messages": {"fullname": "sqlglot.errors.concat_messages", "modulename": "sqlglot.errors", "qualname": "concat_messages", "kind": "function", "doc": "\n", "signature": "(errors: Sequence[Any], maximum: int) -> str:", "funcdef": "def"}, "sqlglot.errors.merge_errors": {"fullname": "sqlglot.errors.merge_errors", "modulename": "sqlglot.errors", "qualname": "merge_errors", "kind": "function", "doc": "\n", "signature": "(errors: Sequence[sqlglot.errors.ParseError]) -> List[Dict[str, Any]]:", "funcdef": "def"}, "sqlglot.executor": {"fullname": "sqlglot.executor", "modulename": "sqlglot.executor", "kind": "module", "doc": "When I first started writing SQLGlot in early 2021, my goal was just to translate SQL queries from SparkSQL to Presto and vice versa. However, over the last year and a half, I've ended up with a full-fledged SQL engine. SQLGlot can now parse and transpile between 18 SQL dialects and can execute all 24 TPC-H SQL queries. The parser and engine are all written from scratch using Python.
\n\nThis post will cover why I went through the effort of creating a Python SQL engine and how a simple query goes from a string to actually transforming data. The following steps are briefly summarized:
\n\nI started working on SQLGlot because of my work on the experimentation and metrics platform at Netflix, where I built tools that allowed data scientists to define and compute SQL-based metrics. Netflix relied on multiple engines to query data (Spark, Presto, and Druid), so my team built the metrics platform around PyPika, a Python SQL query builder. This way, definitions could be reused across multiple engines. However, it became quickly apparent that writing python code to programmatically generate SQL was challenging for data scientists, especially those with academic backgrounds, since they were mostly familiar with R and SQL. At the time, the only Python SQL parser was sqlparse, which is not actually a parser but a tokenizer, so having users write raw SQL into the platform wasn't really an option. Some time later, I randomly stumbled across Crafting Interpreters and realized that I could use it as a guide towards creating my own SQL parser/transpiler.
\n\nWhy did I do this? Isn't a Python SQL engine going to be extremely slow?
\n\nThe main reason why I ended up building a SQL engine was...just for entertainment. It's been fun learning about all the things required to actually run a SQL query, and seeing it actually work is extremely rewarding. Before SQLGlot, I had zero experience with lexers, parsers, or compilers.
\n\nIn terms of practical use cases, I planned to use the Python SQL engine for unit testing SQL pipelines. Big data pipelines are tough to test because many of the engines are not open source and cannot be run locally. With SQLGlot, you can take a SQL query targeting a warehouse such as Snowflake and seamlessly run it in CI on mock Python data. It's easy to mock data and create arbitrary UDFs because everything is just Python. Although the implementation is slow and unsuitable for large amounts of data (> 1 million rows), there's very little overhead/startup and you can run queries on test data in a couple of milliseconds.
\n\nFinally, the components that have been built to support execution can be used as a foundation for a faster engine. I'm inspired by what Apache Calcite has done for the JVM world. Even though Python is commonly used for data, there hasn't been a Calcite for Python. So, you could say that SQLGlot aims to be that framework. For example, it wouldn't take much work to replace the Python execution engine with numpy/pandas/arrow to become a respectably-performing query engine. The implementation would be able to leverage the parser, optimizer, and logical planner, only needing to implement physical execution. There is a lot of work in the Python ecosystem around high performance vectorized computation, which I think could benefit from a pure Python-based AST/plan. Parsing and planning doesn't have to be fast when the bottleneck of running queries is processing terabytes of data. So, having a Python-based ecosystem around SQL is beneficial given the ease of development in Python, despite not having bare metal performance.
\n\nParts of SQLGlot's toolkit are being used today by the following:
\n\nThere are many steps involved with actually running a simple query like:
\n\nSELECT\n bar.a,\n b + 1 AS b\nFROM bar\nJOIN baz\n ON bar.a = baz.a\nWHERE bar.a > 1\n
\nIn this post, I'll walk through all the steps SQLGlot takes to run this query over Python objects.
\n\nThe first step is to convert the sql string into a list of tokens. SQLGlot's tokenizer is quite simple and can be found here. In a while loop, it checks each character and either appends the character to the current token, or makes a new token.
\n\nRunning the SQLGlot tokenizer shows the output.
\n\n\n\nEach keyword has been converted to a SQLGlot Token object. Each token has some metadata associated with it, like line/column information for error messages. Comments are also a part of the token, so that comments can be preserved.
\n\nOnce a SQL statement is tokenized, we don't need to worry about white space and other formatting, so it's easier to work with. We can now convert the list of tokens into an AST. The SQLGlot parser is a handwritten recursive descent parser.
\n\nSimilar to the tokenizer, it consumes the tokens sequentially, but it instead uses a recursive algorithm. The tokens are converted into a single AST node that presents the SQL query. The SQLGlot parser was designed to support various dialects, so it contains many options for overriding parsing functionality.
\n\n\n\nThe AST is a generic representation of a given SQL query. Each dialect can override or implement its own generator, which can convert an AST object into syntatically-correct SQL.
\n\nOnce we have our AST, we can transform it into an equivalent query that produces the same results more efficiently. When optimizing queries, most engines first convert the AST into a logical plan and then optimize the plan. However, I chose to optimize the AST directly for the following reasons:
\n\nIt's easier to debug and validate the optimizations when the input and output are both SQL.
Rules can be applied a la carte to transform SQL into a more desirable form.
I wanted a way to generate 'canonical sql'. Having a canonical representation of SQL is useful for understanding if two queries are semantically equivalent (e.g. SELECT 1 + 1
and SELECT 2
).
I've yet to find another engine that takes this approach, but I'm quite happy with this decision. The optimizer currently does not perform any \"physical optimizations\" such as join reordering. Those are left to the execution layer, as additional statistics and information could become relevant.
\n\n\n\nThe optimizer currently has 17 rules. Each of these rules is applied, transforming the AST in place. The combination of these rules creates \"canonical\" sql that can then be more easily converted into a logical plan and executed.
\n\nSome example rules are:
\n\nSELECT * FROM x;\n\nSELECT "db"."x" AS "x";\n
\nBoolean and math simplification. Check out all the test cases.
\n\n((NOT FALSE) AND (x = x)) AND (TRUE OR 1 <> 3);\nx = x;\n\n1 + 1;\n2;\n
\nAttempts to convert all predicates into conjunctive normal form.
\n\n-- DNF\n(A AND B) OR (B AND C AND D);\n\n-- CNF\n(A OR C) AND (A OR D) AND B;\n
\nConverts subqueries in predicates into joins.
\n\n-- The subquery can be converted into a left join\nSELECT *\nFROM x AS x\nWHERE (\n SELECT y.a AS a\n FROM y AS y\n WHERE x.a = y.a\n) = 1;\n\nSELECT *\nFROM x AS x\nLEFT JOIN (\n SELECT y.a AS a\n FROM y AS y\n WHERE TRUE\n GROUP BY y.a\n) AS "_u_0"\n ON x.a = "_u_0".a\nWHERE ("_u_0".a = 1 AND NOT "_u_0".a IS NULL)\n
\nPush down filters into the innermost query.
\n\nSELECT *\nFROM (\n SELECT *\n FROM x AS x\n) AS y\nWHERE y.a = 1;\n\nSELECT *\nFROM (\n SELECT *\n FROM x AS x\n WHERE y.a = 1\n) AS y WHERE TRUE\n
\nInfer all types throughout the AST given schema information and function type definitions.
\n\nAfter the SQL AST has been \"optimized\", it's much easier to convert into a logical plan. The AST is traversed and converted into a DAG consisting of one of five steps. The different steps are:
\n\nSelects columns from a table, applies projections, and finally filters the table.
\n\nSorts a table for order by expressions.
\n\nApplies the operators union/union all/except/intersect.
\n\nApplies an aggregation/group by.
\n\nJoins multiple tables together.
\n\n\n\nThe logical plan is quite simple and contains the information required to convert it into a physical plan (execution).
\n\nFinally, we can actually execute the SQL query. The Python engine is not fast, but it's very small (~400 LOC)! It iterates the DAG with a queue and runs each step, passing each intermediary table to the next step.
\n\nIn order to keep things simple, it evaluates expressions with eval
. Because SQLGlot was built primarily to be a transpiler, it was simple to create a \"Python SQL\" dialect. So a SQL expression x + 1
can just be converted into scope['x'] + 1
.
SQLGlot's main focus will always be on parsing/transpiling, but I plan to continue development on the execution engine. I'd like to pass TPC-DS. If someone doesn't beat me to it, I may even take a stab at writing a Pandas/Arrow execution engine.
\n\nI'm hoping that over time, SQLGlot will spark the Python SQL ecosystem just like Calcite has for Java.
\n\nSQLGlot would not be what it is without it's core contributors. In particular, the execution engine would not exist without Barak Alon and George Sittas.
\n\nIf you'd like to chat more about SQLGlot, please join my Slack Channel!
\n\nRun a sql query against data.
\n\nSchema
or a mapping in one of the following forms:\n\n\n", "signature": "(\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\ttables: Optional[Dict] = None) -> sqlglot.executor.table.Table:", "funcdef": "def"}, "sqlglot.executor.context": {"fullname": "sqlglot.executor.context", "modulename": "sqlglot.executor.context", "kind": "module", "doc": "\n"}, "sqlglot.executor.context.Context": {"fullname": "sqlglot.executor.context.Context", "modulename": "sqlglot.executor.context", "qualname": "Context", "kind": "class", "doc": "Simple columnar data structure.
\n
Execution context for sql expressions.
\n\nContext is used to hold relevant data tables which can then be queried on with eval.
\n\nReferences to columns can either be scalar or vectors. When set_row is used, column references\nevaluate to scalars while set_range evaluates to vectors. This allows convenient and efficient\nevaluation of aggregation functions.
\n"}, "sqlglot.executor.context.Context.__init__": {"fullname": "sqlglot.executor.context.Context.__init__", "modulename": "sqlglot.executor.context", "qualname": "Context.__init__", "kind": "function", "doc": "Args\n tables: representing the scope of the current execution context.\n env: dictionary of functions within the execution context.
\n", "signature": "(\ttables: Dict[str, sqlglot.executor.table.Table],\tenv: Optional[Dict] = None)"}, "sqlglot.executor.context.Context.eval": {"fullname": "sqlglot.executor.context.Context.eval", "modulename": "sqlglot.executor.context", "qualname": "Context.eval", "kind": "function", "doc": "\n", "signature": "(self, code):", "funcdef": "def"}, "sqlglot.executor.context.Context.eval_tuple": {"fullname": "sqlglot.executor.context.Context.eval_tuple", "modulename": "sqlglot.executor.context", "qualname": "Context.eval_tuple", "kind": "function", "doc": "\n", "signature": "(self, codes):", "funcdef": "def"}, "sqlglot.executor.context.Context.add_columns": {"fullname": "sqlglot.executor.context.Context.add_columns", "modulename": "sqlglot.executor.context", "qualname": "Context.add_columns", "kind": "function", "doc": "\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.table_iter": {"fullname": "sqlglot.executor.context.Context.table_iter", "modulename": "sqlglot.executor.context", "qualname": "Context.table_iter", "kind": "function", "doc": "\n", "signature": "(\tself,\ttable: str) -> Iterator[Tuple[sqlglot.executor.table.TableIter, sqlglot.executor.context.Context]]:", "funcdef": "def"}, "sqlglot.executor.context.Context.filter": {"fullname": "sqlglot.executor.context.Context.filter", "modulename": "sqlglot.executor.context", "qualname": "Context.filter", "kind": "function", "doc": "\n", "signature": "(self, condition) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.sort": {"fullname": "sqlglot.executor.context.Context.sort", "modulename": "sqlglot.executor.context", "qualname": "Context.sort", "kind": "function", "doc": "\n", "signature": "(self, key) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_row": {"fullname": "sqlglot.executor.context.Context.set_row", "modulename": "sqlglot.executor.context", "qualname": "Context.set_row", "kind": "function", "doc": "\n", "signature": "(self, row: Tuple) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_index": {"fullname": "sqlglot.executor.context.Context.set_index", "modulename": "sqlglot.executor.context", "qualname": "Context.set_index", "kind": "function", "doc": "\n", "signature": "(self, index: int) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_range": {"fullname": "sqlglot.executor.context.Context.set_range", "modulename": "sqlglot.executor.context", "qualname": "Context.set_range", "kind": "function", "doc": "\n", "signature": "(self, start: int, end: int) -> None:", "funcdef": "def"}, "sqlglot.executor.env": {"fullname": "sqlglot.executor.env", "modulename": "sqlglot.executor.env", "kind": "module", "doc": "\n"}, "sqlglot.executor.env.reverse_key": {"fullname": "sqlglot.executor.env.reverse_key", "modulename": "sqlglot.executor.env", "qualname": "reverse_key", "kind": "class", "doc": "\n"}, "sqlglot.executor.env.reverse_key.__init__": {"fullname": "sqlglot.executor.env.reverse_key.__init__", "modulename": "sqlglot.executor.env", "qualname": "reverse_key.__init__", "kind": "function", "doc": "\n", "signature": "(obj)"}, "sqlglot.executor.env.filter_nulls": {"fullname": "sqlglot.executor.env.filter_nulls", "modulename": "sqlglot.executor.env", "qualname": "filter_nulls", "kind": "function", "doc": "\n", "signature": "(func, empty_null=True):", "funcdef": "def"}, "sqlglot.executor.env.null_if_any": {"fullname": "sqlglot.executor.env.null_if_any", "modulename": "sqlglot.executor.env", "qualname": "null_if_any", "kind": "function", "doc": "Decorator that makes a function return None
if any of the required
arguments are None
.
This also supports decoration with no arguments, e.g.:
\n\n@null_if_any\ndef foo(a, b): ...\n
\n\nIn which case all arguments are required.
\n", "signature": "(*required):", "funcdef": "def"}, "sqlglot.executor.env.str_position": {"fullname": "sqlglot.executor.env.str_position", "modulename": "sqlglot.executor.env", "qualname": "str_position", "kind": "function", "doc": "\n", "signature": "(substr, this, position=None):", "funcdef": "def"}, "sqlglot.executor.env.substring": {"fullname": "sqlglot.executor.env.substring", "modulename": "sqlglot.executor.env", "qualname": "substring", "kind": "function", "doc": "\n", "signature": "(this, start=None, length=None):", "funcdef": "def"}, "sqlglot.executor.env.cast": {"fullname": "sqlglot.executor.env.cast", "modulename": "sqlglot.executor.env", "qualname": "cast", "kind": "function", "doc": "\n", "signature": "(this, to):", "funcdef": "def"}, "sqlglot.executor.env.ordered": {"fullname": "sqlglot.executor.env.ordered", "modulename": "sqlglot.executor.env", "qualname": "ordered", "kind": "function", "doc": "\n", "signature": "(this, desc, nulls_first):", "funcdef": "def"}, "sqlglot.executor.env.interval": {"fullname": "sqlglot.executor.env.interval", "modulename": "sqlglot.executor.env", "qualname": "interval", "kind": "function", "doc": "\n", "signature": "(this, unit):", "funcdef": "def"}, "sqlglot.executor.python": {"fullname": "sqlglot.executor.python", "modulename": "sqlglot.executor.python", "kind": "module", "doc": "\n"}, "sqlglot.executor.python.PythonExecutor": {"fullname": "sqlglot.executor.python.PythonExecutor", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor", "kind": "class", "doc": "\n"}, "sqlglot.executor.python.PythonExecutor.__init__": {"fullname": "sqlglot.executor.python.PythonExecutor.__init__", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.__init__", "kind": "function", "doc": "\n", "signature": "(env=None, tables=None)"}, "sqlglot.executor.python.PythonExecutor.execute": {"fullname": "sqlglot.executor.python.PythonExecutor.execute", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.execute", "kind": "function", "doc": "\n", "signature": "(self, plan):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate": {"fullname": "sqlglot.executor.python.PythonExecutor.generate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate", "kind": "function", "doc": "Convert a SQL expression into literal Python code and compile it into bytecode.
\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"fullname": "sqlglot.executor.python.PythonExecutor.generate_tuple", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate_tuple", "kind": "function", "doc": "Convert an array of SQL expressions into tuple of Python byte code.
\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.context": {"fullname": "sqlglot.executor.python.PythonExecutor.context", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.context", "kind": "function", "doc": "\n", "signature": "(self, tables):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.table": {"fullname": "sqlglot.executor.python.PythonExecutor.table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.table", "kind": "function", "doc": "\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan": {"fullname": "sqlglot.executor.python.PythonExecutor.scan", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.static": {"fullname": "sqlglot.executor.python.PythonExecutor.static", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.static", "kind": "function", "doc": "\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_table": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_table", "kind": "function", "doc": "\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_csv", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_csv", "kind": "function", "doc": "\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.join": {"fullname": "sqlglot.executor.python.PythonExecutor.join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.join", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"fullname": "sqlglot.executor.python.PythonExecutor.nested_loop_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.nested_loop_join", "kind": "function", "doc": "\n", "signature": "(self, _join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.hash_join": {"fullname": "sqlglot.executor.python.PythonExecutor.hash_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.hash_join", "kind": "function", "doc": "\n", "signature": "(self, join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.aggregate": {"fullname": "sqlglot.executor.python.PythonExecutor.aggregate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.aggregate", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.sort": {"fullname": "sqlglot.executor.python.PythonExecutor.sort", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.sort", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.set_operation": {"fullname": "sqlglot.executor.python.PythonExecutor.set_operation", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.set_operation", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.Python": {"fullname": "sqlglot.executor.python.Python", "modulename": "sqlglot.executor.python", "qualname": "Python", "kind": "class", "doc": "\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.executor.python.Python.Tokenizer": {"fullname": "sqlglot.executor.python.Python.Tokenizer", "modulename": "sqlglot.executor.python", "qualname": "Python.Tokenizer", "kind": "class", "doc": "\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.executor.python.Python.Generator": {"fullname": "sqlglot.executor.python.Python.Generator", "modulename": "sqlglot.executor.python", "qualname": "Python.Generator", "kind": "class", "doc": "Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nAbstract base class for generic types.
\n\nA generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::
\n\nclass Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.
\n\nThis class can then be used as follows::
\n\ndef lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default
\n", "bases": "sqlglot.schema.AbstractMappingSchema[sqlglot.executor.table.Table]"}, "sqlglot.executor.table.ensure_tables": {"fullname": "sqlglot.executor.table.ensure_tables", "modulename": "sqlglot.executor.table", "qualname": "ensure_tables", "kind": "function", "doc": "\n", "signature": "(d: Optional[Dict]) -> sqlglot.executor.table.Tables:", "funcdef": "def"}, "sqlglot.expressions": {"fullname": "sqlglot.expressions", "modulename": "sqlglot.expressions", "kind": "module", "doc": "Every AST node in SQLGlot is represented by a subclass of Expression
.
This module contains the implementation of all supported Expression
types. Additionally,\nit exposes a number of helper functions, which are mainly used to programmatically build\nSQL expressions, such as sqlglot.expressions.select
.
The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary\ncontext, such as its child expressions, their names (arg keys), and whether a given child expression\nis optional or not.
\n\n\n\n\n\n\n \n\n>>> class Foo(Expression):\n... arg_types = {"this": True, "expression": False}\n
The above definition informs us that Foo is an Expression that requires an argument called\n \"this\" and may also optionally receive an argument called \"expression\".
\n
sqlglot.expressions.DataType
type of an expression. This is inferred by the\noptimizer, in order to enable some transformations that require type information.Retrieves the argument with key \"this\".
\n"}, "sqlglot.expressions.Expression.expression": {"fullname": "sqlglot.expressions.Expression.expression", "modulename": "sqlglot.expressions", "qualname": "Expression.expression", "kind": "variable", "doc": "Retrieves the argument with key \"expression\".
\n"}, "sqlglot.expressions.Expression.expressions": {"fullname": "sqlglot.expressions.Expression.expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.expressions", "kind": "variable", "doc": "Retrieves the argument with key \"expressions\".
\n"}, "sqlglot.expressions.Expression.text": {"fullname": "sqlglot.expressions.Expression.text", "modulename": "sqlglot.expressions", "qualname": "Expression.text", "kind": "function", "doc": "Returns a textual representation of the argument corresponding to \"key\". This can only be used\nfor args that are strings or leaf Expression instances, such as identifiers and literals.
\n", "signature": "(self, key) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.is_string": {"fullname": "sqlglot.expressions.Expression.is_string", "modulename": "sqlglot.expressions", "qualname": "Expression.is_string", "kind": "variable", "doc": "Checks whether a Literal expression is a string.
\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_number": {"fullname": "sqlglot.expressions.Expression.is_number", "modulename": "sqlglot.expressions", "qualname": "Expression.is_number", "kind": "variable", "doc": "Checks whether a Literal expression is a number.
\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_int": {"fullname": "sqlglot.expressions.Expression.is_int", "modulename": "sqlglot.expressions", "qualname": "Expression.is_int", "kind": "variable", "doc": "Checks whether a Literal expression is an integer.
\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_star": {"fullname": "sqlglot.expressions.Expression.is_star", "modulename": "sqlglot.expressions", "qualname": "Expression.is_star", "kind": "variable", "doc": "Checks whether an expression is a star.
\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.alias": {"fullname": "sqlglot.expressions.Expression.alias", "modulename": "sqlglot.expressions", "qualname": "Expression.alias", "kind": "variable", "doc": "Returns the alias of the expression, or an empty string if it's not aliased.
\n", "annotation": ": str"}, "sqlglot.expressions.Expression.output_name": {"fullname": "sqlglot.expressions.Expression.output_name", "modulename": "sqlglot.expressions", "qualname": "Expression.output_name", "kind": "variable", "doc": "Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Expression.copy": {"fullname": "sqlglot.expressions.Expression.copy", "modulename": "sqlglot.expressions", "qualname": "Expression.copy", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Returns a deep copy of the expression.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.append": {"fullname": "sqlglot.expressions.Expression.append", "modulename": "sqlglot.expressions", "qualname": "Expression.append", "kind": "function", "doc": "Appends value to arg_key if it's a list or sets it as a new list.
\n\nSets arg_key
to value
.
Returns the depth of this tree.
\n"}, "sqlglot.expressions.Expression.iter_expressions": {"fullname": "sqlglot.expressions.Expression.iter_expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.iter_expressions", "kind": "function", "doc": "Yields the key and expression for all arguments, exploding list args.
\n", "signature": "(self) -> Iterator[Tuple[str, sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find": {"fullname": "sqlglot.expressions.Expression.find", "modulename": "sqlglot.expressions", "qualname": "Expression.find", "kind": "function", "doc": "Returns the first node in this tree which matches at least one of\nthe specified types.
\n\n\n\n", "signature": "(self, *expression_types: Type[~E], bfs=True) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_all": {"fullname": "sqlglot.expressions.Expression.find_all", "modulename": "sqlglot.expressions", "qualname": "Expression.find_all", "kind": "function", "doc": "The node which matches the criteria or None if no such node was found.
\n
Returns a generator object which visits all nodes in this tree and only\nyields those that match at least one of the specified expression types.
\n\n\n\n", "signature": "(self, *expression_types: Type[~E], bfs=True) -> Iterator[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_ancestor": {"fullname": "sqlglot.expressions.Expression.find_ancestor", "modulename": "sqlglot.expressions", "qualname": "Expression.find_ancestor", "kind": "function", "doc": "The generator object.
\n
Returns a nearest parent matching expression_types.
\n\n\n\n", "signature": "(self, *expression_types: Type[~E]) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.parent_select": {"fullname": "sqlglot.expressions.Expression.parent_select", "modulename": "sqlglot.expressions", "qualname": "Expression.parent_select", "kind": "variable", "doc": "The parent node.
\n
Returns the parent select statement.
\n"}, "sqlglot.expressions.Expression.same_parent": {"fullname": "sqlglot.expressions.Expression.same_parent", "modulename": "sqlglot.expressions", "qualname": "Expression.same_parent", "kind": "variable", "doc": "Returns if the parent is the same class as itself.
\n"}, "sqlglot.expressions.Expression.root": {"fullname": "sqlglot.expressions.Expression.root", "modulename": "sqlglot.expressions", "qualname": "Expression.root", "kind": "function", "doc": "Returns the root expression of this tree.
\n", "signature": "(self) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.Expression.walk": {"fullname": "sqlglot.expressions.Expression.walk", "modulename": "sqlglot.expressions", "qualname": "Expression.walk", "kind": "function", "doc": "Returns a generator object which visits all nodes in this tree.
\n\n\n\n", "signature": "(self, bfs=True, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.dfs": {"fullname": "sqlglot.expressions.Expression.dfs", "modulename": "sqlglot.expressions", "qualname": "Expression.dfs", "kind": "function", "doc": "the generator object.
\n
Returns a generator object which visits all nodes in this tree in\nthe DFS (Depth-first) order.
\n\n\n\n", "signature": "(self, parent=None, key=None, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.bfs": {"fullname": "sqlglot.expressions.Expression.bfs", "modulename": "sqlglot.expressions", "qualname": "Expression.bfs", "kind": "function", "doc": "The generator object.
\n
Returns a generator object which visits all nodes in this tree in\nthe BFS (Breadth-first) order.
\n\n\n\n", "signature": "(self, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest": {"fullname": "sqlglot.expressions.Expression.unnest", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest", "kind": "function", "doc": "The generator object.
\n
Returns the first non parenthesis child or self.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unalias": {"fullname": "sqlglot.expressions.Expression.unalias", "modulename": "sqlglot.expressions", "qualname": "Expression.unalias", "kind": "function", "doc": "Returns the inner expression if this is an Alias.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest_operands": {"fullname": "sqlglot.expressions.Expression.unnest_operands", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest_operands", "kind": "function", "doc": "Returns unnested operands as a tuple.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.flatten": {"fullname": "sqlglot.expressions.Expression.flatten", "modulename": "sqlglot.expressions", "qualname": "Expression.flatten", "kind": "function", "doc": "Returns a generator which yields child nodes who's parents are the same class.
\n\nA AND B AND C -> [A, B, C]
\n", "signature": "(self, unnest=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.sql": {"fullname": "sqlglot.expressions.Expression.sql", "modulename": "sqlglot.expressions", "qualname": "Expression.sql", "kind": "function", "doc": "Returns SQL string representation of this tree.
\n\nsqlglot.generator.Generator
options.\n\n", "signature": "(\tself,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.transform": {"fullname": "sqlglot.expressions.Expression.transform", "modulename": "sqlglot.expressions", "qualname": "Expression.transform", "kind": "function", "doc": "The SQL string.
\n
Recursively visits all tree nodes (excluding already transformed ones)\nand applies the given transformation function to each node.
\n\n\n\n", "signature": "(self, fun, *args, copy=True, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.Expression.replace": {"fullname": "sqlglot.expressions.Expression.replace", "modulename": "sqlglot.expressions", "qualname": "Expression.replace", "kind": "function", "doc": "The transformed tree.
\n
Swap out this expression with a new expression.
\n\nFor example::
\n\n>>> tree = Select().select(\"x\").from_(\"tbl\")\n>>> tree.find(Column).replace(Column(this=\"y\"))\n(COLUMN this: y)\n>>> tree.sql()\n'SELECT y FROM tbl'\n
\n\n\n\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.expressions.Expression.pop": {"fullname": "sqlglot.expressions.Expression.pop", "modulename": "sqlglot.expressions", "qualname": "Expression.pop", "kind": "function", "doc": "The new expression or expressions.
\n
Remove this expression from its AST.
\n\n\n\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.assert_is": {"fullname": "sqlglot.expressions.Expression.assert_is", "modulename": "sqlglot.expressions", "qualname": "Expression.assert_is", "kind": "function", "doc": "The popped expression.
\n
Assert that this Expression
is an instance of type_
.
If it is NOT an instance of type_
, this raises an assertion error.\nOtherwise, this returns this expression.
\n\n", "signature": "(self, type_):", "funcdef": "def"}, "sqlglot.expressions.Expression.error_messages": {"fullname": "sqlglot.expressions.Expression.error_messages", "modulename": "sqlglot.expressions", "qualname": "Expression.error_messages", "kind": "function", "doc": "This is useful for type security in chained expressions:
\n \n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()\n'SELECT x, z FROM y'\n
Checks if this expression is valid (e.g. all mandatory args are set).
\n\n\n\n", "signature": "(self, args: Optional[Sequence] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.Expression.dump": {"fullname": "sqlglot.expressions.Expression.dump", "modulename": "sqlglot.expressions", "qualname": "Expression.dump", "kind": "function", "doc": "A list of error messages for all possible errors that were found.
\n
Dump this Expression to a JSON-serializable dict.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.load": {"fullname": "sqlglot.expressions.Expression.load", "modulename": "sqlglot.expressions", "qualname": "Expression.load", "kind": "function", "doc": "Load a dict (as returned by Expression.dump
) into an Expression instance.
AND this condition with one or multiple expressions.
\n\n\n\n\n\n\n\n>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, *expressions, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.or_": {"fullname": "sqlglot.expressions.Condition.or_", "modulename": "sqlglot.expressions", "qualname": "Condition.or_", "kind": "function", "doc": "And: the new condition.
\n
OR this condition with one or multiple expressions.
\n\n\n\n\n\n\n\n>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, *expressions, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.not_": {"fullname": "sqlglot.expressions.Condition.not_", "modulename": "sqlglot.expressions", "qualname": "Condition.not_", "kind": "function", "doc": "Or: the new condition.
\n
Wrap this condition with NOT.
\n\n\n\n\n\n\n\n>>> condition("x=1").not_().sql()\n'NOT x = 1'\n
\n\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Predicate": {"fullname": "sqlglot.expressions.Predicate", "modulename": "sqlglot.expressions", "qualname": "Predicate", "kind": "class", "doc": "Not: the new condition.
\n
Relationships like x = y, x > 1, x >= y.
\n", "bases": "Condition"}, "sqlglot.expressions.DerivedTable": {"fullname": "sqlglot.expressions.DerivedTable", "modulename": "sqlglot.expressions", "qualname": "DerivedTable", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Unionable": {"fullname": "sqlglot.expressions.Unionable", "modulename": "sqlglot.expressions", "qualname": "Unionable", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Unionable.union": {"fullname": "sqlglot.expressions.Unionable.union", "modulename": "sqlglot.expressions", "qualname": "Unionable.union", "kind": "function", "doc": "Builds a UNION expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.intersect": {"fullname": "sqlglot.expressions.Unionable.intersect", "modulename": "sqlglot.expressions", "qualname": "Unionable.intersect", "kind": "function", "doc": "Union: the Union expression.
\n
Builds an INTERSECT expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.except_": {"fullname": "sqlglot.expressions.Unionable.except_", "modulename": "sqlglot.expressions", "qualname": "Unionable.except_", "kind": "function", "doc": "Intersect: the Intersect expression
\n
Builds an EXCEPT expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.UDTF": {"fullname": "sqlglot.expressions.UDTF", "modulename": "sqlglot.expressions", "qualname": "UDTF", "kind": "class", "doc": "\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Cache": {"fullname": "sqlglot.expressions.Cache", "modulename": "sqlglot.expressions", "qualname": "Cache", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Uncache": {"fullname": "sqlglot.expressions.Uncache", "modulename": "sqlglot.expressions", "qualname": "Uncache", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Create": {"fullname": "sqlglot.expressions.Create", "modulename": "sqlglot.expressions", "qualname": "Create", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Describe": {"fullname": "sqlglot.expressions.Describe", "modulename": "sqlglot.expressions", "qualname": "Describe", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Pragma": {"fullname": "sqlglot.expressions.Pragma", "modulename": "sqlglot.expressions", "qualname": "Pragma", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Set": {"fullname": "sqlglot.expressions.Set", "modulename": "sqlglot.expressions", "qualname": "Set", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SetItem": {"fullname": "sqlglot.expressions.SetItem", "modulename": "sqlglot.expressions", "qualname": "SetItem", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Show": {"fullname": "sqlglot.expressions.Show", "modulename": "sqlglot.expressions", "qualname": "Show", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.UserDefinedFunction": {"fullname": "sqlglot.expressions.UserDefinedFunction", "modulename": "sqlglot.expressions", "qualname": "UserDefinedFunction", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.CharacterSet": {"fullname": "sqlglot.expressions.CharacterSet", "modulename": "sqlglot.expressions", "qualname": "CharacterSet", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.With": {"fullname": "sqlglot.expressions.With", "modulename": "sqlglot.expressions", "qualname": "With", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.WithinGroup": {"fullname": "sqlglot.expressions.WithinGroup", "modulename": "sqlglot.expressions", "qualname": "WithinGroup", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.CTE": {"fullname": "sqlglot.expressions.CTE", "modulename": "sqlglot.expressions", "qualname": "CTE", "kind": "class", "doc": "\n", "bases": "DerivedTable"}, "sqlglot.expressions.TableAlias": {"fullname": "sqlglot.expressions.TableAlias", "modulename": "sqlglot.expressions", "qualname": "TableAlias", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.BitString": {"fullname": "sqlglot.expressions.BitString", "modulename": "sqlglot.expressions", "qualname": "BitString", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.HexString": {"fullname": "sqlglot.expressions.HexString", "modulename": "sqlglot.expressions", "qualname": "HexString", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.ByteString": {"fullname": "sqlglot.expressions.ByteString", "modulename": "sqlglot.expressions", "qualname": "ByteString", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Column": {"fullname": "sqlglot.expressions.Column", "modulename": "sqlglot.expressions", "qualname": "Column", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Column.output_name": {"fullname": "sqlglot.expressions.Column.output_name", "modulename": "sqlglot.expressions", "qualname": "Column.output_name", "kind": "variable", "doc": "Except: the Except expression
\n
Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n", "annotation": ": str"}, "sqlglot.expressions.Column.parts": {"fullname": "sqlglot.expressions.Column.parts", "modulename": "sqlglot.expressions", "qualname": "Column.parts", "kind": "variable", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Return the parts of a column in order catalog, db, table, name.
\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.Column.to_dot": {"fullname": "sqlglot.expressions.Column.to_dot", "modulename": "sqlglot.expressions", "qualname": "Column.to_dot", "kind": "function", "doc": "Converts the column into a dot expression.
\n", "signature": "(self) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.ColumnPosition": {"fullname": "sqlglot.expressions.ColumnPosition", "modulename": "sqlglot.expressions", "qualname": "ColumnPosition", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.ColumnDef": {"fullname": "sqlglot.expressions.ColumnDef", "modulename": "sqlglot.expressions", "qualname": "ColumnDef", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AlterColumn": {"fullname": "sqlglot.expressions.AlterColumn", "modulename": "sqlglot.expressions", "qualname": "AlterColumn", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.RenameTable": {"fullname": "sqlglot.expressions.RenameTable", "modulename": "sqlglot.expressions", "qualname": "RenameTable", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SetTag": {"fullname": "sqlglot.expressions.SetTag", "modulename": "sqlglot.expressions", "qualname": "SetTag", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Comment": {"fullname": "sqlglot.expressions.Comment", "modulename": "sqlglot.expressions", "qualname": "Comment", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraint": {"fullname": "sqlglot.expressions.ColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraintKind": {"fullname": "sqlglot.expressions.ColumnConstraintKind", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraintKind", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"fullname": "sqlglot.expressions.AutoIncrementColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"fullname": "sqlglot.expressions.CaseSpecificColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CaseSpecificColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CharacterSetColumnConstraint": {"fullname": "sqlglot.expressions.CharacterSetColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CharacterSetColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CheckColumnConstraint": {"fullname": "sqlglot.expressions.CheckColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CheckColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CollateColumnConstraint": {"fullname": "sqlglot.expressions.CollateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CollateColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CommentColumnConstraint": {"fullname": "sqlglot.expressions.CommentColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CommentColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CompressColumnConstraint": {"fullname": "sqlglot.expressions.CompressColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CompressColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DateFormatColumnConstraint": {"fullname": "sqlglot.expressions.DateFormatColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DateFormatColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DefaultColumnConstraint": {"fullname": "sqlglot.expressions.DefaultColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DefaultColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.EncodeColumnConstraint": {"fullname": "sqlglot.expressions.EncodeColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "EncodeColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"fullname": "sqlglot.expressions.GeneratedAsIdentityColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "GeneratedAsIdentityColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.InlineLengthColumnConstraint": {"fullname": "sqlglot.expressions.InlineLengthColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "InlineLengthColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.NotNullColumnConstraint": {"fullname": "sqlglot.expressions.NotNullColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "NotNullColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.OnUpdateColumnConstraint": {"fullname": "sqlglot.expressions.OnUpdateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "OnUpdateColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"fullname": "sqlglot.expressions.PrimaryKeyColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PrimaryKeyColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.TitleColumnConstraint": {"fullname": "sqlglot.expressions.TitleColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "TitleColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UniqueColumnConstraint": {"fullname": "sqlglot.expressions.UniqueColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UniqueColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UppercaseColumnConstraint": {"fullname": "sqlglot.expressions.UppercaseColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UppercaseColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PathColumnConstraint": {"fullname": "sqlglot.expressions.PathColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PathColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.Constraint": {"fullname": "sqlglot.expressions.Constraint", "modulename": "sqlglot.expressions", "qualname": "Constraint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Delete": {"fullname": "sqlglot.expressions.Delete", "modulename": "sqlglot.expressions", "qualname": "Delete", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Delete.delete": {"fullname": "sqlglot.expressions.Delete.delete", "modulename": "sqlglot.expressions", "qualname": "Delete.delete", "kind": "function", "doc": "Create a DELETE expression or replace the table on an existing DELETE expression.
\n\n\n\n\n\n\n\n>>> delete("tbl").sql()\n'DELETE FROM tbl'\n
False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\ttable: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.where": {"fullname": "sqlglot.expressions.Delete.where", "modulename": "sqlglot.expressions", "qualname": "Delete.where", "kind": "function", "doc": "Delete: the modified expression.
\n
Append to or set the WHERE expressions.
\n\n\n\n\n\n\n\n>>> delete("tbl").where("x = 'a' OR x < 'b'").sql()\n"DELETE FROM tbl WHERE x = 'a' OR x < 'b'"\n
Expression
instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.True
, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.returning": {"fullname": "sqlglot.expressions.Delete.returning", "modulename": "sqlglot.expressions", "qualname": "Delete.returning", "kind": "function", "doc": "Delete: the modified expression.
\n
Set the RETURNING expression. Not supported by all dialects.
\n\n\n\n\n\n\n\n>>> delete("tbl").returning("*", dialect="postgres").sql()\n'DELETE FROM tbl RETURNING *'\n
Expression
instance is passed, it will be used as-is.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Drop": {"fullname": "sqlglot.expressions.Drop", "modulename": "sqlglot.expressions", "qualname": "Drop", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Filter": {"fullname": "sqlglot.expressions.Filter", "modulename": "sqlglot.expressions", "qualname": "Filter", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Check": {"fullname": "sqlglot.expressions.Check", "modulename": "sqlglot.expressions", "qualname": "Check", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Directory": {"fullname": "sqlglot.expressions.Directory", "modulename": "sqlglot.expressions", "qualname": "Directory", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.ForeignKey": {"fullname": "sqlglot.expressions.ForeignKey", "modulename": "sqlglot.expressions", "qualname": "ForeignKey", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.PrimaryKey": {"fullname": "sqlglot.expressions.PrimaryKey", "modulename": "sqlglot.expressions", "qualname": "PrimaryKey", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Unique": {"fullname": "sqlglot.expressions.Unique", "modulename": "sqlglot.expressions", "qualname": "Unique", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Into": {"fullname": "sqlglot.expressions.Into", "modulename": "sqlglot.expressions", "qualname": "Into", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.From": {"fullname": "sqlglot.expressions.From", "modulename": "sqlglot.expressions", "qualname": "From", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Having": {"fullname": "sqlglot.expressions.Having", "modulename": "sqlglot.expressions", "qualname": "Having", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Hint": {"fullname": "sqlglot.expressions.Hint", "modulename": "sqlglot.expressions", "qualname": "Hint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.JoinHint": {"fullname": "sqlglot.expressions.JoinHint", "modulename": "sqlglot.expressions", "qualname": "JoinHint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Identifier": {"fullname": "sqlglot.expressions.Identifier", "modulename": "sqlglot.expressions", "qualname": "Identifier", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Identifier.output_name": {"fullname": "sqlglot.expressions.Identifier.output_name", "modulename": "sqlglot.expressions", "qualname": "Identifier.output_name", "kind": "variable", "doc": "Delete: the modified expression.
\n
Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Index": {"fullname": "sqlglot.expressions.Index", "modulename": "sqlglot.expressions", "qualname": "Index", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Insert": {"fullname": "sqlglot.expressions.Insert", "modulename": "sqlglot.expressions", "qualname": "Insert", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.OnConflict": {"fullname": "sqlglot.expressions.OnConflict", "modulename": "sqlglot.expressions", "qualname": "OnConflict", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Returning": {"fullname": "sqlglot.expressions.Returning", "modulename": "sqlglot.expressions", "qualname": "Returning", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Introducer": {"fullname": "sqlglot.expressions.Introducer", "modulename": "sqlglot.expressions", "qualname": "Introducer", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.National": {"fullname": "sqlglot.expressions.National", "modulename": "sqlglot.expressions", "qualname": "National", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.LoadData": {"fullname": "sqlglot.expressions.LoadData", "modulename": "sqlglot.expressions", "qualname": "LoadData", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Partition": {"fullname": "sqlglot.expressions.Partition", "modulename": "sqlglot.expressions", "qualname": "Partition", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Fetch": {"fullname": "sqlglot.expressions.Fetch", "modulename": "sqlglot.expressions", "qualname": "Fetch", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Group": {"fullname": "sqlglot.expressions.Group", "modulename": "sqlglot.expressions", "qualname": "Group", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Lambda": {"fullname": "sqlglot.expressions.Lambda", "modulename": "sqlglot.expressions", "qualname": "Lambda", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Limit": {"fullname": "sqlglot.expressions.Limit", "modulename": "sqlglot.expressions", "qualname": "Limit", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Literal": {"fullname": "sqlglot.expressions.Literal", "modulename": "sqlglot.expressions", "qualname": "Literal", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Literal.number": {"fullname": "sqlglot.expressions.Literal.number", "modulename": "sqlglot.expressions", "qualname": "Literal.number", "kind": "function", "doc": "\n", "signature": "(cls, number) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.string": {"fullname": "sqlglot.expressions.Literal.string", "modulename": "sqlglot.expressions", "qualname": "Literal.string", "kind": "function", "doc": "\n", "signature": "(cls, string) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.output_name": {"fullname": "sqlglot.expressions.Literal.output_name", "modulename": "sqlglot.expressions", "qualname": "Literal.output_name", "kind": "variable", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Join": {"fullname": "sqlglot.expressions.Join", "modulename": "sqlglot.expressions", "qualname": "Join", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Join.on": {"fullname": "sqlglot.expressions.Join.on", "modulename": "sqlglot.expressions", "qualname": "Join.on", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Append to or set the ON expressions.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n
Expression
instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.True
, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Join.using": {"fullname": "sqlglot.expressions.Join.using", "modulename": "sqlglot.expressions", "qualname": "Join.using", "kind": "function", "doc": "Join: the modified join expression.
\n
Append to or set the USING expressions.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n
Expression
instance is passed, it will be used as-is.True
, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Lateral": {"fullname": "sqlglot.expressions.Lateral", "modulename": "sqlglot.expressions", "qualname": "Lateral", "kind": "class", "doc": "\n", "bases": "UDTF"}, "sqlglot.expressions.MatchRecognize": {"fullname": "sqlglot.expressions.MatchRecognize", "modulename": "sqlglot.expressions", "qualname": "MatchRecognize", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Final": {"fullname": "sqlglot.expressions.Final", "modulename": "sqlglot.expressions", "qualname": "Final", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Offset": {"fullname": "sqlglot.expressions.Offset", "modulename": "sqlglot.expressions", "qualname": "Offset", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Order": {"fullname": "sqlglot.expressions.Order", "modulename": "sqlglot.expressions", "qualname": "Order", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Cluster": {"fullname": "sqlglot.expressions.Cluster", "modulename": "sqlglot.expressions", "qualname": "Cluster", "kind": "class", "doc": "\n", "bases": "Order"}, "sqlglot.expressions.Distribute": {"fullname": "sqlglot.expressions.Distribute", "modulename": "sqlglot.expressions", "qualname": "Distribute", "kind": "class", "doc": "\n", "bases": "Order"}, "sqlglot.expressions.Sort": {"fullname": "sqlglot.expressions.Sort", "modulename": "sqlglot.expressions", "qualname": "Sort", "kind": "class", "doc": "\n", "bases": "Order"}, "sqlglot.expressions.Ordered": {"fullname": "sqlglot.expressions.Ordered", "modulename": "sqlglot.expressions", "qualname": "Ordered", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Property": {"fullname": "sqlglot.expressions.Property", "modulename": "sqlglot.expressions", "qualname": "Property", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AfterJournalProperty": {"fullname": "sqlglot.expressions.AfterJournalProperty", "modulename": "sqlglot.expressions", "qualname": "AfterJournalProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.AlgorithmProperty": {"fullname": "sqlglot.expressions.AlgorithmProperty", "modulename": "sqlglot.expressions", "qualname": "AlgorithmProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.AutoIncrementProperty": {"fullname": "sqlglot.expressions.AutoIncrementProperty", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.BlockCompressionProperty": {"fullname": "sqlglot.expressions.BlockCompressionProperty", "modulename": "sqlglot.expressions", "qualname": "BlockCompressionProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.CharacterSetProperty": {"fullname": "sqlglot.expressions.CharacterSetProperty", "modulename": "sqlglot.expressions", "qualname": "CharacterSetProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.ChecksumProperty": {"fullname": "sqlglot.expressions.ChecksumProperty", "modulename": "sqlglot.expressions", "qualname": "ChecksumProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.CollateProperty": {"fullname": "sqlglot.expressions.CollateProperty", "modulename": "sqlglot.expressions", "qualname": "CollateProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.DataBlocksizeProperty": {"fullname": "sqlglot.expressions.DataBlocksizeProperty", "modulename": "sqlglot.expressions", "qualname": "DataBlocksizeProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.DefinerProperty": {"fullname": "sqlglot.expressions.DefinerProperty", "modulename": "sqlglot.expressions", "qualname": "DefinerProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.DistKeyProperty": {"fullname": "sqlglot.expressions.DistKeyProperty", "modulename": "sqlglot.expressions", "qualname": "DistKeyProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.DistStyleProperty": {"fullname": "sqlglot.expressions.DistStyleProperty", "modulename": "sqlglot.expressions", "qualname": "DistStyleProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.EngineProperty": {"fullname": "sqlglot.expressions.EngineProperty", "modulename": "sqlglot.expressions", "qualname": "EngineProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.ExecuteAsProperty": {"fullname": "sqlglot.expressions.ExecuteAsProperty", "modulename": "sqlglot.expressions", "qualname": "ExecuteAsProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.ExternalProperty": {"fullname": "sqlglot.expressions.ExternalProperty", "modulename": "sqlglot.expressions", "qualname": "ExternalProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.FallbackProperty": {"fullname": "sqlglot.expressions.FallbackProperty", "modulename": "sqlglot.expressions", "qualname": "FallbackProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.FileFormatProperty": {"fullname": "sqlglot.expressions.FileFormatProperty", "modulename": "sqlglot.expressions", "qualname": "FileFormatProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.FreespaceProperty": {"fullname": "sqlglot.expressions.FreespaceProperty", "modulename": "sqlglot.expressions", "qualname": "FreespaceProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.InputOutputFormat": {"fullname": "sqlglot.expressions.InputOutputFormat", "modulename": "sqlglot.expressions", "qualname": "InputOutputFormat", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.IsolatedLoadingProperty": {"fullname": "sqlglot.expressions.IsolatedLoadingProperty", "modulename": "sqlglot.expressions", "qualname": "IsolatedLoadingProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.JournalProperty": {"fullname": "sqlglot.expressions.JournalProperty", "modulename": "sqlglot.expressions", "qualname": "JournalProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LanguageProperty": {"fullname": "sqlglot.expressions.LanguageProperty", "modulename": "sqlglot.expressions", "qualname": "LanguageProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LikeProperty": {"fullname": "sqlglot.expressions.LikeProperty", "modulename": "sqlglot.expressions", "qualname": "LikeProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LocationProperty": {"fullname": "sqlglot.expressions.LocationProperty", "modulename": "sqlglot.expressions", "qualname": "LocationProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LockingProperty": {"fullname": "sqlglot.expressions.LockingProperty", "modulename": "sqlglot.expressions", "qualname": "LockingProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LogProperty": {"fullname": "sqlglot.expressions.LogProperty", "modulename": "sqlglot.expressions", "qualname": "LogProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.MaterializedProperty": {"fullname": "sqlglot.expressions.MaterializedProperty", "modulename": "sqlglot.expressions", "qualname": "MaterializedProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.MergeBlockRatioProperty": {"fullname": "sqlglot.expressions.MergeBlockRatioProperty", "modulename": "sqlglot.expressions", "qualname": "MergeBlockRatioProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.NoPrimaryIndexProperty": {"fullname": "sqlglot.expressions.NoPrimaryIndexProperty", "modulename": "sqlglot.expressions", "qualname": "NoPrimaryIndexProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.OnCommitProperty": {"fullname": "sqlglot.expressions.OnCommitProperty", "modulename": "sqlglot.expressions", "qualname": "OnCommitProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.PartitionedByProperty": {"fullname": "sqlglot.expressions.PartitionedByProperty", "modulename": "sqlglot.expressions", "qualname": "PartitionedByProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.ReturnsProperty": {"fullname": "sqlglot.expressions.ReturnsProperty", "modulename": "sqlglot.expressions", "qualname": "ReturnsProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.RowFormatProperty": {"fullname": "sqlglot.expressions.RowFormatProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.RowFormatDelimitedProperty": {"fullname": "sqlglot.expressions.RowFormatDelimitedProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatDelimitedProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.RowFormatSerdeProperty": {"fullname": "sqlglot.expressions.RowFormatSerdeProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatSerdeProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SchemaCommentProperty": {"fullname": "sqlglot.expressions.SchemaCommentProperty", "modulename": "sqlglot.expressions", "qualname": "SchemaCommentProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SerdeProperties": {"fullname": "sqlglot.expressions.SerdeProperties", "modulename": "sqlglot.expressions", "qualname": "SerdeProperties", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SetProperty": {"fullname": "sqlglot.expressions.SetProperty", "modulename": "sqlglot.expressions", "qualname": "SetProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SortKeyProperty": {"fullname": "sqlglot.expressions.SortKeyProperty", "modulename": "sqlglot.expressions", "qualname": "SortKeyProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SqlSecurityProperty": {"fullname": "sqlglot.expressions.SqlSecurityProperty", "modulename": "sqlglot.expressions", "qualname": "SqlSecurityProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.StabilityProperty": {"fullname": "sqlglot.expressions.StabilityProperty", "modulename": "sqlglot.expressions", "qualname": "StabilityProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.TableFormatProperty": {"fullname": "sqlglot.expressions.TableFormatProperty", "modulename": "sqlglot.expressions", "qualname": "TableFormatProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.TemporaryProperty": {"fullname": "sqlglot.expressions.TemporaryProperty", "modulename": "sqlglot.expressions", "qualname": "TemporaryProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.TransientProperty": {"fullname": "sqlglot.expressions.TransientProperty", "modulename": "sqlglot.expressions", "qualname": "TransientProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.VolatileProperty": {"fullname": "sqlglot.expressions.VolatileProperty", "modulename": "sqlglot.expressions", "qualname": "VolatileProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.WithDataProperty": {"fullname": "sqlglot.expressions.WithDataProperty", "modulename": "sqlglot.expressions", "qualname": "WithDataProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.WithJournalTableProperty": {"fullname": "sqlglot.expressions.WithJournalTableProperty", "modulename": "sqlglot.expressions", "qualname": "WithJournalTableProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.Properties": {"fullname": "sqlglot.expressions.Properties", "modulename": "sqlglot.expressions", "qualname": "Properties", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Properties.Location": {"fullname": "sqlglot.expressions.Properties.Location", "modulename": "sqlglot.expressions", "qualname": "Properties.Location", "kind": "class", "doc": "Join: the modified join expression.
\n
An enumeration.
\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"fullname": "sqlglot.expressions.Properties.Location.POST_CREATE", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_CREATE", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_CREATE: 'POST_CREATE'>"}, "sqlglot.expressions.Properties.Location.POST_NAME": {"fullname": "sqlglot.expressions.Properties.Location.POST_NAME", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_NAME", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_NAME: 'POST_NAME'>"}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"fullname": "sqlglot.expressions.Properties.Location.POST_SCHEMA", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_SCHEMA", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_SCHEMA: 'POST_SCHEMA'>"}, "sqlglot.expressions.Properties.Location.POST_WITH": {"fullname": "sqlglot.expressions.Properties.Location.POST_WITH", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_WITH", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_WITH: 'POST_WITH'>"}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"fullname": "sqlglot.expressions.Properties.Location.POST_ALIAS", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_ALIAS", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_ALIAS: 'POST_ALIAS'>"}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"fullname": "sqlglot.expressions.Properties.Location.POST_EXPRESSION", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_EXPRESSION", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_EXPRESSION: 'POST_EXPRESSION'>"}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"fullname": "sqlglot.expressions.Properties.Location.POST_INDEX", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_INDEX", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_INDEX: 'POST_INDEX'>"}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"fullname": "sqlglot.expressions.Properties.Location.UNSUPPORTED", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.UNSUPPORTED", "kind": "variable", "doc": "\n", "default_value": "<Location.UNSUPPORTED: 'UNSUPPORTED'>"}, "sqlglot.expressions.Properties.from_dict": {"fullname": "sqlglot.expressions.Properties.from_dict", "modulename": "sqlglot.expressions", "qualname": "Properties.from_dict", "kind": "function", "doc": "\n", "signature": "(cls, properties_dict) -> sqlglot.expressions.Properties:", "funcdef": "def"}, "sqlglot.expressions.Qualify": {"fullname": "sqlglot.expressions.Qualify", "modulename": "sqlglot.expressions", "qualname": "Qualify", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Return": {"fullname": "sqlglot.expressions.Return", "modulename": "sqlglot.expressions", "qualname": "Return", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Reference": {"fullname": "sqlglot.expressions.Reference", "modulename": "sqlglot.expressions", "qualname": "Reference", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Tuple": {"fullname": "sqlglot.expressions.Tuple", "modulename": "sqlglot.expressions", "qualname": "Tuple", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Subqueryable": {"fullname": "sqlglot.expressions.Subqueryable", "modulename": "sqlglot.expressions", "qualname": "Subqueryable", "kind": "class", "doc": "\n", "bases": "Unionable"}, "sqlglot.expressions.Subqueryable.subquery": {"fullname": "sqlglot.expressions.Subqueryable.subquery", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.subquery", "kind": "function", "doc": "Convert this expression to an aliased expression that can be used as a Subquery.
\n\n\n\n\n\n\n\n>>> subquery = Select().select("x").from_("tbl").subquery()\n>>> Select().select("x").from_(subquery).sql()\n'SELECT x FROM (SELECT x FROM tbl)'\n
False
, modify this expression instance in-place.\n\n", "signature": "(self, alias=None, copy=True) -> sqlglot.expressions.Subquery:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.limit": {"fullname": "sqlglot.expressions.Subqueryable.limit", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.limit", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.with_": {"fullname": "sqlglot.expressions.Subqueryable.with_", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.with_", "kind": "function", "doc": "Alias: the subquery
\n
Append to or set the common table expressions.
\n\n\n\n\n\n\n\n>>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()\n'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'\n
Expression
instance is passed, this is used as-is.Expression
instance is passed, it will be used as-is.False
.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\talias,\tas_,\trecursive=None,\tappend=True,\tdialect=None,\tcopy=True,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.Table": {"fullname": "sqlglot.expressions.Table", "modulename": "sqlglot.expressions", "qualname": "Table", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SystemTime": {"fullname": "sqlglot.expressions.SystemTime", "modulename": "sqlglot.expressions", "qualname": "SystemTime", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Union": {"fullname": "sqlglot.expressions.Union", "modulename": "sqlglot.expressions", "qualname": "Union", "kind": "class", "doc": "\n", "bases": "Subqueryable"}, "sqlglot.expressions.Union.limit": {"fullname": "sqlglot.expressions.Union.limit", "modulename": "sqlglot.expressions", "qualname": "Union.limit", "kind": "function", "doc": "Select: the modified expression.
\n
Set the LIMIT expression.
\n\n\n\n\n\n\n\n>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n
Limit
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Limit
.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Union.select": {"fullname": "sqlglot.expressions.Union.select", "modulename": "sqlglot.expressions", "qualname": "Union.select", "kind": "function", "doc": "Select: The limited subqueryable.
\n
Append to or set the SELECT of the union recursively.
\n\n\n\n\n\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("select a from x union select a from y union select a from z").select("b").sql()\n'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'\n
Expression
instance is passed, it will be used as-is.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.Union.is_star": {"fullname": "sqlglot.expressions.Union.is_star", "modulename": "sqlglot.expressions", "qualname": "Union.is_star", "kind": "variable", "doc": "Union: the modified expression.
\n
Checks whether an expression is a star.
\n", "annotation": ": bool"}, "sqlglot.expressions.Except": {"fullname": "sqlglot.expressions.Except", "modulename": "sqlglot.expressions", "qualname": "Except", "kind": "class", "doc": "\n", "bases": "Union"}, "sqlglot.expressions.Intersect": {"fullname": "sqlglot.expressions.Intersect", "modulename": "sqlglot.expressions", "qualname": "Intersect", "kind": "class", "doc": "\n", "bases": "Union"}, "sqlglot.expressions.Unnest": {"fullname": "sqlglot.expressions.Unnest", "modulename": "sqlglot.expressions", "qualname": "Unnest", "kind": "class", "doc": "\n", "bases": "UDTF"}, "sqlglot.expressions.Update": {"fullname": "sqlglot.expressions.Update", "modulename": "sqlglot.expressions", "qualname": "Update", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Values": {"fullname": "sqlglot.expressions.Values", "modulename": "sqlglot.expressions", "qualname": "Values", "kind": "class", "doc": "\n", "bases": "UDTF"}, "sqlglot.expressions.Var": {"fullname": "sqlglot.expressions.Var", "modulename": "sqlglot.expressions", "qualname": "Var", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Schema": {"fullname": "sqlglot.expressions.Schema", "modulename": "sqlglot.expressions", "qualname": "Schema", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Lock": {"fullname": "sqlglot.expressions.Lock", "modulename": "sqlglot.expressions", "qualname": "Lock", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Select": {"fullname": "sqlglot.expressions.Select", "modulename": "sqlglot.expressions", "qualname": "Select", "kind": "class", "doc": "\n", "bases": "Subqueryable"}, "sqlglot.expressions.Select.from_": {"fullname": "sqlglot.expressions.Select.from_", "modulename": "sqlglot.expressions", "qualname": "Select.from_", "kind": "function", "doc": "Set the FROM expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n
From
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a From
.True
, add to any existing expressions.\nOtherwise, this flattens all the From
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.group_by": {"fullname": "sqlglot.expressions.Select.group_by", "modulename": "sqlglot.expressions", "qualname": "Select.group_by", "kind": "function", "doc": "Select: the modified expression.
\n
Set the GROUP BY expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n
Group
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Group
.\nIf nothing is passed in then a group by is not applied to the expressionTrue
, add to any existing expressions.\nOtherwise, this flattens all the Group
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.order_by": {"fullname": "sqlglot.expressions.Select.order_by", "modulename": "sqlglot.expressions", "qualname": "Select.order_by", "kind": "function", "doc": "Select: the modified expression.
\n
Set the ORDER BY expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n
Group
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Order
.True
, add to any existing expressions.\nOtherwise, this flattens all the Order
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.sort_by": {"fullname": "sqlglot.expressions.Select.sort_by", "modulename": "sqlglot.expressions", "qualname": "Select.sort_by", "kind": "function", "doc": "Select: the modified expression.
\n
Set the SORT BY expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").sort_by("x DESC").sql()\n'SELECT x FROM tbl SORT BY x DESC'\n
Group
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a SORT
.True
, add to any existing expressions.\nOtherwise, this flattens all the Order
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.cluster_by": {"fullname": "sqlglot.expressions.Select.cluster_by", "modulename": "sqlglot.expressions", "qualname": "Select.cluster_by", "kind": "function", "doc": "Select: the modified expression.
\n
Set the CLUSTER BY expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql()\n'SELECT x FROM tbl CLUSTER BY x DESC'\n
Group
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Cluster
.True
, add to any existing expressions.\nOtherwise, this flattens all the Order
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.limit": {"fullname": "sqlglot.expressions.Select.limit", "modulename": "sqlglot.expressions", "qualname": "Select.limit", "kind": "function", "doc": "Select: the modified expression.
\n
Set the LIMIT expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n
Limit
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Limit
.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.offset": {"fullname": "sqlglot.expressions.Select.offset", "modulename": "sqlglot.expressions", "qualname": "Select.offset", "kind": "function", "doc": "Select: the modified expression.
\n
Set the OFFSET expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n
Offset
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Offset
.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.select": {"fullname": "sqlglot.expressions.Select.select", "modulename": "sqlglot.expressions", "qualname": "Select.select", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the SELECT expressions.
\n\n\n\n\n\n\n\n>>> Select().select("x", "y").sql()\n'SELECT x, y'\n
Expression
instance is passed, it will be used as-is.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.lateral": {"fullname": "sqlglot.expressions.Select.lateral", "modulename": "sqlglot.expressions", "qualname": "Select.lateral", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the LATERAL expressions.
\n\n\n\n\n\n\n\n>>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()\n'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'\n
Expression
instance is passed, it will be used as-is.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.join": {"fullname": "sqlglot.expressions.Select.join", "modulename": "sqlglot.expressions", "qualname": "Select.join", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the JOIN expressions.
\n\n\n\n\n\n\n \n\n>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()\n'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n\n \n\n>>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()\n'SELECT 1 FROM a JOIN b USING (x, y, z)'\n
Use
\n \njoin_type
to change the type of join:\n\n\n>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()\n'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'\n
Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression,\ton=None,\tusing=None,\tappend=True,\tjoin_type=None,\tjoin_alias=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.where": {"fullname": "sqlglot.expressions.Select.where", "modulename": "sqlglot.expressions", "qualname": "Select.where", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the WHERE expressions.
\n\n\n\n\n\n\n\n>>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()\n"SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"\n
Expression
instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.True
, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.having": {"fullname": "sqlglot.expressions.Select.having", "modulename": "sqlglot.expressions", "qualname": "Select.having", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the HAVING expressions.
\n\n\n\n\n\n\n\n>>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()\n'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'\n
Expression
instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.True
, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.window": {"fullname": "sqlglot.expressions.Select.window", "modulename": "sqlglot.expressions", "qualname": "Select.window", "kind": "function", "doc": "\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.qualify": {"fullname": "sqlglot.expressions.Select.qualify", "modulename": "sqlglot.expressions", "qualname": "Select.qualify", "kind": "function", "doc": "\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.distinct": {"fullname": "sqlglot.expressions.Select.distinct", "modulename": "sqlglot.expressions", "qualname": "Select.distinct", "kind": "function", "doc": "Select: the modified expression.
\n
Set the OFFSET expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n
False
, modify this expression instance in-place.\n\n", "signature": "(self, distinct=True, copy=True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.ctas": {"fullname": "sqlglot.expressions.Select.ctas", "modulename": "sqlglot.expressions", "qualname": "Select.ctas", "kind": "function", "doc": "Select: the modified expression.
\n
Convert this expression to a CREATE TABLE AS statement.
\n\n\n\n\n\n\n\n>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n
Expression
instance is passed, it will be used as-is.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\ttable,\tproperties=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Create:", "funcdef": "def"}, "sqlglot.expressions.Select.lock": {"fullname": "sqlglot.expressions.Select.lock", "modulename": "sqlglot.expressions", "qualname": "Select.lock", "kind": "function", "doc": "Create: the CREATE TABLE AS expression
\n
Set the locking read mode for this expression.
\n\n\n\n\n\n\n \n\n>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\n
\n\n\n>>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR SHARE"\n
True
, the locking type will be FOR UPDATE
, else it will be FOR SHARE
.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\tupdate: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.is_star": {"fullname": "sqlglot.expressions.Select.is_star", "modulename": "sqlglot.expressions", "qualname": "Select.is_star", "kind": "variable", "doc": "The modified expression.
\n
Checks whether an expression is a star.
\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery": {"fullname": "sqlglot.expressions.Subquery", "modulename": "sqlglot.expressions", "qualname": "Subquery", "kind": "class", "doc": "\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Subquery.unnest": {"fullname": "sqlglot.expressions.Subquery.unnest", "modulename": "sqlglot.expressions", "qualname": "Subquery.unnest", "kind": "function", "doc": "Returns the first non subquery.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Subquery.is_star": {"fullname": "sqlglot.expressions.Subquery.is_star", "modulename": "sqlglot.expressions", "qualname": "Subquery.is_star", "kind": "variable", "doc": "Checks whether an expression is a star.
\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery.output_name": {"fullname": "sqlglot.expressions.Subquery.output_name", "modulename": "sqlglot.expressions", "qualname": "Subquery.output_name", "kind": "variable", "doc": "Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.TableSample": {"fullname": "sqlglot.expressions.TableSample", "modulename": "sqlglot.expressions", "qualname": "TableSample", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Tag": {"fullname": "sqlglot.expressions.Tag", "modulename": "sqlglot.expressions", "qualname": "Tag", "kind": "class", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Tags are used for generating arbitrary sql like SELECT x.
\n", "bases": "Expression"}, "sqlglot.expressions.Pivot": {"fullname": "sqlglot.expressions.Pivot", "modulename": "sqlglot.expressions", "qualname": "Pivot", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Window": {"fullname": "sqlglot.expressions.Window", "modulename": "sqlglot.expressions", "qualname": "Window", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.WindowSpec": {"fullname": "sqlglot.expressions.WindowSpec", "modulename": "sqlglot.expressions", "qualname": "WindowSpec", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Where": {"fullname": "sqlglot.expressions.Where", "modulename": "sqlglot.expressions", "qualname": "Where", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Star": {"fullname": "sqlglot.expressions.Star", "modulename": "sqlglot.expressions", "qualname": "Star", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Star.output_name": {"fullname": "sqlglot.expressions.Star.output_name", "modulename": "sqlglot.expressions", "qualname": "Star.output_name", "kind": "variable", "doc": "Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Parameter": {"fullname": "sqlglot.expressions.Parameter", "modulename": "sqlglot.expressions", "qualname": "Parameter", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SessionParameter": {"fullname": "sqlglot.expressions.SessionParameter", "modulename": "sqlglot.expressions", "qualname": "SessionParameter", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Placeholder": {"fullname": "sqlglot.expressions.Placeholder", "modulename": "sqlglot.expressions", "qualname": "Placeholder", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Null": {"fullname": "sqlglot.expressions.Null", "modulename": "sqlglot.expressions", "qualname": "Null", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Boolean": {"fullname": "sqlglot.expressions.Boolean", "modulename": "sqlglot.expressions", "qualname": "Boolean", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.DataType": {"fullname": "sqlglot.expressions.DataType", "modulename": "sqlglot.expressions", "qualname": "DataType", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.DataType.Type": {"fullname": "sqlglot.expressions.DataType.Type", "modulename": "sqlglot.expressions", "qualname": "DataType.Type", "kind": "class", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
An enumeration.
\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.DataType.Type.CHAR": {"fullname": "sqlglot.expressions.DataType.Type.CHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.CHAR", "kind": "variable", "doc": "\n", "default_value": "<Type.CHAR: 'CHAR'>"}, "sqlglot.expressions.DataType.Type.NCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NCHAR", "kind": "variable", "doc": "\n", "default_value": "<Type.NCHAR: 'NCHAR'>"}, "sqlglot.expressions.DataType.Type.VARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.VARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARCHAR", "kind": "variable", "doc": "\n", "default_value": "<Type.VARCHAR: 'VARCHAR'>"}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NVARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NVARCHAR", "kind": "variable", "doc": "\n", "default_value": "<Type.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.expressions.DataType.Type.TEXT": {"fullname": "sqlglot.expressions.DataType.Type.TEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TEXT", "kind": "variable", "doc": "\n", "default_value": "<Type.TEXT: 'TEXT'>"}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMTEXT", "kind": "variable", "doc": "\n", "default_value": "<Type.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"fullname": "sqlglot.expressions.DataType.Type.LONGTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGTEXT", "kind": "variable", "doc": "\n", "default_value": "<Type.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMBLOB", "kind": "variable", "doc": "\n", "default_value": "<Type.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"fullname": "sqlglot.expressions.DataType.Type.LONGBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGBLOB", "kind": "variable", "doc": "\n", "default_value": "<Type.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.expressions.DataType.Type.BINARY": {"fullname": "sqlglot.expressions.DataType.Type.BINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BINARY", "kind": "variable", "doc": "\n", "default_value": "<Type.BINARY: 'BINARY'>"}, "sqlglot.expressions.DataType.Type.VARBINARY": {"fullname": "sqlglot.expressions.DataType.Type.VARBINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARBINARY", "kind": "variable", "doc": "\n", "default_value": "<Type.VARBINARY: 'VARBINARY'>"}, "sqlglot.expressions.DataType.Type.INT": {"fullname": "sqlglot.expressions.DataType.Type.INT", 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"sqlglot.expressions.DataType.Type.SMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLINT", "kind": "variable", "doc": "\n", "default_value": "<Type.SMALLINT: 'SMALLINT'>"}, "sqlglot.expressions.DataType.Type.USMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.USMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.USMALLINT", "kind": "variable", "doc": "\n", "default_value": "<Type.USMALLINT: 'USMALLINT'>"}, "sqlglot.expressions.DataType.Type.BIGINT": {"fullname": "sqlglot.expressions.DataType.Type.BIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGINT", "kind": "variable", "doc": "\n", "default_value": "<Type.BIGINT: 'BIGINT'>"}, "sqlglot.expressions.DataType.Type.UBIGINT": {"fullname": "sqlglot.expressions.DataType.Type.UBIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UBIGINT", "kind": "variable", "doc": "\n", "default_value": "<Type.UBIGINT: 'UBIGINT'>"}, 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"sqlglot.expressions", "qualname": "DataType.Type.GEOMETRY", "kind": "variable", "doc": "\n", "default_value": "<Type.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.expressions.DataType.Type.STRUCT": {"fullname": "sqlglot.expressions.DataType.Type.STRUCT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.STRUCT", "kind": "variable", "doc": "\n", "default_value": "<Type.STRUCT: 'STRUCT'>"}, "sqlglot.expressions.DataType.Type.NULLABLE": {"fullname": "sqlglot.expressions.DataType.Type.NULLABLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULLABLE", "kind": "variable", "doc": "\n", "default_value": "<Type.NULLABLE: 'NULLABLE'>"}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"fullname": "sqlglot.expressions.DataType.Type.HLLSKETCH", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HLLSKETCH", "kind": "variable", "doc": "\n", "default_value": "<Type.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.expressions.DataType.Type.HSTORE": {"fullname": "sqlglot.expressions.DataType.Type.HSTORE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HSTORE", "kind": "variable", "doc": "\n", "default_value": "<Type.HSTORE: 'HSTORE'>"}, "sqlglot.expressions.DataType.Type.SUPER": {"fullname": "sqlglot.expressions.DataType.Type.SUPER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SUPER", "kind": "variable", "doc": "\n", "default_value": "<Type.SUPER: 'SUPER'>"}, "sqlglot.expressions.DataType.Type.SERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SERIAL", "kind": "variable", "doc": "\n", "default_value": "<Type.SERIAL: 'SERIAL'>"}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SMALLSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLSERIAL", "kind": "variable", "doc": "\n", "default_value": "<Type.SMALLSERIAL: 'SMALLSERIAL'>"}, 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"doc": "\n", "default_value": "<Type.MONEY: 'MONEY'>"}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"fullname": "sqlglot.expressions.DataType.Type.SMALLMONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLMONEY", "kind": "variable", "doc": "\n", "default_value": "<Type.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"fullname": "sqlglot.expressions.DataType.Type.ROWVERSION", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ROWVERSION", "kind": "variable", "doc": "\n", "default_value": "<Type.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.expressions.DataType.Type.IMAGE": {"fullname": "sqlglot.expressions.DataType.Type.IMAGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.IMAGE", "kind": "variable", "doc": "\n", "default_value": "<Type.IMAGE: 'IMAGE'>"}, "sqlglot.expressions.DataType.Type.VARIANT": {"fullname": "sqlglot.expressions.DataType.Type.VARIANT", "modulename": "sqlglot.expressions", "qualname": 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"class", "doc": "\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Command": {"fullname": "sqlglot.expressions.Command", "modulename": "sqlglot.expressions", "qualname": "Command", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Transaction": {"fullname": "sqlglot.expressions.Transaction", "modulename": "sqlglot.expressions", "qualname": "Transaction", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Commit": {"fullname": "sqlglot.expressions.Commit", "modulename": "sqlglot.expressions", "qualname": "Commit", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Rollback": {"fullname": "sqlglot.expressions.Rollback", "modulename": "sqlglot.expressions", "qualname": "Rollback", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AlterTable": {"fullname": "sqlglot.expressions.AlterTable", "modulename": "sqlglot.expressions", "qualname": "AlterTable", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AddConstraint": {"fullname": "sqlglot.expressions.AddConstraint", "modulename": "sqlglot.expressions", "qualname": "AddConstraint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.DropPartition": {"fullname": "sqlglot.expressions.DropPartition", "modulename": "sqlglot.expressions", "qualname": "DropPartition", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Binary": {"fullname": "sqlglot.expressions.Binary", "modulename": "sqlglot.expressions", "qualname": "Binary", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Add": {"fullname": "sqlglot.expressions.Add", "modulename": "sqlglot.expressions", "qualname": "Add", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Connector": {"fullname": "sqlglot.expressions.Connector", "modulename": "sqlglot.expressions", "qualname": "Connector", "kind": "class", "doc": "\n", "bases": "Binary, Condition"}, "sqlglot.expressions.And": {"fullname": "sqlglot.expressions.And", "modulename": "sqlglot.expressions", "qualname": "And", "kind": "class", "doc": "\n", "bases": "Connector"}, "sqlglot.expressions.Or": {"fullname": "sqlglot.expressions.Or", "modulename": "sqlglot.expressions", "qualname": "Or", "kind": "class", "doc": "\n", "bases": "Connector"}, "sqlglot.expressions.BitwiseAnd": {"fullname": "sqlglot.expressions.BitwiseAnd", "modulename": "sqlglot.expressions", "qualname": "BitwiseAnd", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseLeftShift": {"fullname": "sqlglot.expressions.BitwiseLeftShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseLeftShift", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseOr": {"fullname": "sqlglot.expressions.BitwiseOr", "modulename": "sqlglot.expressions", "qualname": "BitwiseOr", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseRightShift": {"fullname": "sqlglot.expressions.BitwiseRightShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseRightShift", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseXor": {"fullname": "sqlglot.expressions.BitwiseXor", "modulename": "sqlglot.expressions", "qualname": "BitwiseXor", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Div": {"fullname": "sqlglot.expressions.Div", "modulename": "sqlglot.expressions", "qualname": "Div", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Overlaps": {"fullname": "sqlglot.expressions.Overlaps", "modulename": "sqlglot.expressions", "qualname": "Overlaps", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Dot": {"fullname": "sqlglot.expressions.Dot", "modulename": "sqlglot.expressions", "qualname": "Dot", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Dot.build": {"fullname": "sqlglot.expressions.Dot.build", "modulename": "sqlglot.expressions", "qualname": "Dot.build", "kind": "function", "doc": "Build a Dot object with a sequence of expressions.
\n", "signature": "(\tself,\texpressions: Sequence[sqlglot.expressions.Expression]) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.DPipe": {"fullname": "sqlglot.expressions.DPipe", "modulename": "sqlglot.expressions", "qualname": "DPipe", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.EQ": {"fullname": "sqlglot.expressions.EQ", "modulename": "sqlglot.expressions", "qualname": "EQ", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeEQ": {"fullname": "sqlglot.expressions.NullSafeEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeEQ", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeNEQ": {"fullname": "sqlglot.expressions.NullSafeNEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeNEQ", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Distance": {"fullname": "sqlglot.expressions.Distance", "modulename": "sqlglot.expressions", "qualname": "Distance", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Escape": {"fullname": "sqlglot.expressions.Escape", "modulename": "sqlglot.expressions", "qualname": "Escape", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Glob": {"fullname": "sqlglot.expressions.Glob", "modulename": "sqlglot.expressions", "qualname": "Glob", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GT": {"fullname": "sqlglot.expressions.GT", "modulename": "sqlglot.expressions", "qualname": "GT", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GTE": {"fullname": "sqlglot.expressions.GTE", "modulename": "sqlglot.expressions", "qualname": "GTE", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILike": {"fullname": "sqlglot.expressions.ILike", "modulename": "sqlglot.expressions", "qualname": "ILike", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILikeAny": {"fullname": "sqlglot.expressions.ILikeAny", "modulename": "sqlglot.expressions", "qualname": "ILikeAny", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.IntDiv": {"fullname": "sqlglot.expressions.IntDiv", "modulename": "sqlglot.expressions", "qualname": "IntDiv", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Is": {"fullname": "sqlglot.expressions.Is", "modulename": "sqlglot.expressions", "qualname": "Is", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Kwarg": {"fullname": "sqlglot.expressions.Kwarg", "modulename": "sqlglot.expressions", "qualname": "Kwarg", "kind": "class", "doc": "Kwarg in special functions like func(kwarg => y).
\n", "bases": "Binary"}, "sqlglot.expressions.Like": {"fullname": "sqlglot.expressions.Like", "modulename": "sqlglot.expressions", "qualname": "Like", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LikeAny": {"fullname": "sqlglot.expressions.LikeAny", "modulename": "sqlglot.expressions", "qualname": "LikeAny", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LT": {"fullname": "sqlglot.expressions.LT", "modulename": "sqlglot.expressions", "qualname": "LT", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LTE": {"fullname": "sqlglot.expressions.LTE", "modulename": "sqlglot.expressions", "qualname": "LTE", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Mod": {"fullname": "sqlglot.expressions.Mod", "modulename": "sqlglot.expressions", "qualname": "Mod", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Mul": {"fullname": "sqlglot.expressions.Mul", "modulename": "sqlglot.expressions", "qualname": "Mul", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.NEQ": {"fullname": "sqlglot.expressions.NEQ", "modulename": "sqlglot.expressions", "qualname": "NEQ", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.SimilarTo": {"fullname": "sqlglot.expressions.SimilarTo", "modulename": "sqlglot.expressions", "qualname": "SimilarTo", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Slice": {"fullname": "sqlglot.expressions.Slice", "modulename": "sqlglot.expressions", "qualname": "Slice", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Sub": {"fullname": "sqlglot.expressions.Sub", "modulename": "sqlglot.expressions", "qualname": "Sub", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.ArrayOverlaps": {"fullname": "sqlglot.expressions.ArrayOverlaps", "modulename": "sqlglot.expressions", "qualname": "ArrayOverlaps", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Unary": {"fullname": "sqlglot.expressions.Unary", "modulename": "sqlglot.expressions", "qualname": "Unary", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.BitwiseNot": {"fullname": "sqlglot.expressions.BitwiseNot", "modulename": "sqlglot.expressions", "qualname": "BitwiseNot", "kind": "class", "doc": "\n", "bases": "Unary"}, "sqlglot.expressions.Not": {"fullname": "sqlglot.expressions.Not", "modulename": "sqlglot.expressions", "qualname": "Not", "kind": "class", "doc": "\n", "bases": "Unary, Condition"}, "sqlglot.expressions.Paren": {"fullname": "sqlglot.expressions.Paren", "modulename": "sqlglot.expressions", "qualname": "Paren", "kind": "class", "doc": "\n", "bases": "Unary, Condition"}, "sqlglot.expressions.Neg": {"fullname": "sqlglot.expressions.Neg", "modulename": "sqlglot.expressions", "qualname": "Neg", "kind": "class", "doc": "\n", "bases": "Unary"}, "sqlglot.expressions.Alias": {"fullname": "sqlglot.expressions.Alias", "modulename": "sqlglot.expressions", "qualname": "Alias", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Alias.output_name": {"fullname": "sqlglot.expressions.Alias.output_name", "modulename": "sqlglot.expressions", "qualname": "Alias.output_name", "kind": "variable", "doc": "Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Aliases": {"fullname": "sqlglot.expressions.Aliases", "modulename": "sqlglot.expressions", "qualname": "Aliases", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AtTimeZone": {"fullname": "sqlglot.expressions.AtTimeZone", "modulename": "sqlglot.expressions", "qualname": "AtTimeZone", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Between": {"fullname": "sqlglot.expressions.Between", "modulename": "sqlglot.expressions", "qualname": "Between", "kind": "class", "doc": "\n", "bases": "Predicate"}, "sqlglot.expressions.Bracket": {"fullname": "sqlglot.expressions.Bracket", "modulename": "sqlglot.expressions", "qualname": "Bracket", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Distinct": {"fullname": "sqlglot.expressions.Distinct", "modulename": "sqlglot.expressions", "qualname": "Distinct", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.In": {"fullname": "sqlglot.expressions.In", "modulename": "sqlglot.expressions", "qualname": "In", "kind": "class", "doc": "\n", "bases": "Predicate"}, "sqlglot.expressions.TimeUnit": {"fullname": "sqlglot.expressions.TimeUnit", "modulename": "sqlglot.expressions", "qualname": "TimeUnit", "kind": "class", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Automatically converts unit arg into a var.
\n", "bases": "Expression"}, "sqlglot.expressions.TimeUnit.__init__": {"fullname": "sqlglot.expressions.TimeUnit.__init__", "modulename": "sqlglot.expressions", "qualname": "TimeUnit.__init__", "kind": "function", "doc": "\n", "signature": "(**args)"}, "sqlglot.expressions.Interval": {"fullname": "sqlglot.expressions.Interval", "modulename": "sqlglot.expressions", "qualname": "Interval", "kind": "class", "doc": "\n", "bases": "TimeUnit"}, "sqlglot.expressions.IgnoreNulls": {"fullname": "sqlglot.expressions.IgnoreNulls", "modulename": "sqlglot.expressions", "qualname": "IgnoreNulls", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.RespectNulls": {"fullname": "sqlglot.expressions.RespectNulls", "modulename": "sqlglot.expressions", "qualname": "RespectNulls", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Func": {"fullname": "sqlglot.expressions.Func", "modulename": "sqlglot.expressions", "qualname": "Func", "kind": "class", "doc": "The base class for all function expressions.
\n\nName of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Cast.is_type": {"fullname": "sqlglot.expressions.Cast.is_type", "modulename": "sqlglot.expressions", "qualname": "Cast.is_type", "kind": "function", "doc": "\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.Collate": {"fullname": "sqlglot.expressions.Collate", "modulename": "sqlglot.expressions", "qualname": "Collate", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.TryCast": {"fullname": "sqlglot.expressions.TryCast", "modulename": "sqlglot.expressions", "qualname": "TryCast", "kind": "class", "doc": "\n", "bases": "Cast"}, "sqlglot.expressions.Ceil": {"fullname": "sqlglot.expressions.Ceil", "modulename": "sqlglot.expressions", "qualname": "Ceil", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Coalesce": {"fullname": "sqlglot.expressions.Coalesce", "modulename": "sqlglot.expressions", "qualname": "Coalesce", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Concat": {"fullname": "sqlglot.expressions.Concat", "modulename": "sqlglot.expressions", "qualname": "Concat", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.ConcatWs": {"fullname": "sqlglot.expressions.ConcatWs", "modulename": "sqlglot.expressions", "qualname": "ConcatWs", "kind": "class", "doc": "\n", "bases": "Concat"}, "sqlglot.expressions.Count": {"fullname": "sqlglot.expressions.Count", "modulename": "sqlglot.expressions", "qualname": "Count", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.CountIf": {"fullname": "sqlglot.expressions.CountIf", "modulename": "sqlglot.expressions", "qualname": "CountIf", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.CurrentDate": {"fullname": "sqlglot.expressions.CurrentDate", "modulename": "sqlglot.expressions", "qualname": "CurrentDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.CurrentDatetime": {"fullname": "sqlglot.expressions.CurrentDatetime", "modulename": "sqlglot.expressions", "qualname": "CurrentDatetime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.CurrentTime": {"fullname": "sqlglot.expressions.CurrentTime", "modulename": "sqlglot.expressions", "qualname": "CurrentTime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.CurrentTimestamp": {"fullname": "sqlglot.expressions.CurrentTimestamp", "modulename": "sqlglot.expressions", "qualname": "CurrentTimestamp", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.CurrentUser": {"fullname": "sqlglot.expressions.CurrentUser", "modulename": "sqlglot.expressions", "qualname": "CurrentUser", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DateAdd": {"fullname": "sqlglot.expressions.DateAdd", "modulename": "sqlglot.expressions", "qualname": "DateAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateSub": {"fullname": "sqlglot.expressions.DateSub", "modulename": "sqlglot.expressions", "qualname": "DateSub", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateDiff": {"fullname": "sqlglot.expressions.DateDiff", "modulename": "sqlglot.expressions", "qualname": "DateDiff", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateTrunc": {"fullname": "sqlglot.expressions.DateTrunc", "modulename": "sqlglot.expressions", "qualname": "DateTrunc", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DatetimeAdd": {"fullname": "sqlglot.expressions.DatetimeAdd", "modulename": "sqlglot.expressions", "qualname": "DatetimeAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeSub": {"fullname": "sqlglot.expressions.DatetimeSub", "modulename": "sqlglot.expressions", "qualname": "DatetimeSub", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeDiff": {"fullname": "sqlglot.expressions.DatetimeDiff", "modulename": "sqlglot.expressions", "qualname": "DatetimeDiff", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeTrunc": {"fullname": "sqlglot.expressions.DatetimeTrunc", "modulename": "sqlglot.expressions", "qualname": "DatetimeTrunc", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DayOfWeek": {"fullname": "sqlglot.expressions.DayOfWeek", "modulename": "sqlglot.expressions", "qualname": "DayOfWeek", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DayOfMonth": {"fullname": "sqlglot.expressions.DayOfMonth", "modulename": "sqlglot.expressions", "qualname": "DayOfMonth", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DayOfYear": {"fullname": "sqlglot.expressions.DayOfYear", "modulename": "sqlglot.expressions", "qualname": "DayOfYear", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.WeekOfYear": {"fullname": "sqlglot.expressions.WeekOfYear", "modulename": "sqlglot.expressions", "qualname": "WeekOfYear", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.LastDateOfMonth": {"fullname": "sqlglot.expressions.LastDateOfMonth", "modulename": "sqlglot.expressions", "qualname": "LastDateOfMonth", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Extract": {"fullname": "sqlglot.expressions.Extract", "modulename": "sqlglot.expressions", "qualname": "Extract", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimestampAdd": {"fullname": "sqlglot.expressions.TimestampAdd", "modulename": "sqlglot.expressions", "qualname": "TimestampAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampSub": {"fullname": "sqlglot.expressions.TimestampSub", "modulename": "sqlglot.expressions", "qualname": "TimestampSub", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampDiff": {"fullname": "sqlglot.expressions.TimestampDiff", "modulename": "sqlglot.expressions", "qualname": "TimestampDiff", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampTrunc": {"fullname": "sqlglot.expressions.TimestampTrunc", "modulename": "sqlglot.expressions", "qualname": "TimestampTrunc", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeAdd": {"fullname": "sqlglot.expressions.TimeAdd", "modulename": "sqlglot.expressions", "qualname": "TimeAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeSub": {"fullname": "sqlglot.expressions.TimeSub", "modulename": "sqlglot.expressions", "qualname": "TimeSub", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeDiff": {"fullname": "sqlglot.expressions.TimeDiff", "modulename": "sqlglot.expressions", "qualname": "TimeDiff", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeTrunc": {"fullname": "sqlglot.expressions.TimeTrunc", "modulename": "sqlglot.expressions", "qualname": "TimeTrunc", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateFromParts": {"fullname": "sqlglot.expressions.DateFromParts", "modulename": "sqlglot.expressions", "qualname": "DateFromParts", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DateStrToDate": {"fullname": "sqlglot.expressions.DateStrToDate", "modulename": "sqlglot.expressions", "qualname": "DateStrToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DateToDateStr": {"fullname": "sqlglot.expressions.DateToDateStr", "modulename": "sqlglot.expressions", "qualname": "DateToDateStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DateToDi": {"fullname": "sqlglot.expressions.DateToDi", "modulename": "sqlglot.expressions", "qualname": "DateToDi", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Day": {"fullname": "sqlglot.expressions.Day", "modulename": "sqlglot.expressions", "qualname": "Day", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Decode": {"fullname": "sqlglot.expressions.Decode", "modulename": "sqlglot.expressions", "qualname": "Decode", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DiToDate": {"fullname": "sqlglot.expressions.DiToDate", "modulename": "sqlglot.expressions", "qualname": "DiToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Encode": {"fullname": "sqlglot.expressions.Encode", "modulename": "sqlglot.expressions", "qualname": "Encode", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Exp": {"fullname": "sqlglot.expressions.Exp", "modulename": "sqlglot.expressions", "qualname": "Exp", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Explode": {"fullname": "sqlglot.expressions.Explode", "modulename": "sqlglot.expressions", "qualname": "Explode", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.ExponentialTimeDecayedAvg": {"fullname": "sqlglot.expressions.ExponentialTimeDecayedAvg", "modulename": "sqlglot.expressions", "qualname": "ExponentialTimeDecayedAvg", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Floor": {"fullname": "sqlglot.expressions.Floor", "modulename": "sqlglot.expressions", "qualname": "Floor", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Greatest": {"fullname": "sqlglot.expressions.Greatest", "modulename": "sqlglot.expressions", "qualname": "Greatest", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.GroupConcat": {"fullname": "sqlglot.expressions.GroupConcat", "modulename": "sqlglot.expressions", "qualname": "GroupConcat", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.GroupUniqArray": {"fullname": "sqlglot.expressions.GroupUniqArray", "modulename": "sqlglot.expressions", "qualname": "GroupUniqArray", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Hex": {"fullname": "sqlglot.expressions.Hex", "modulename": "sqlglot.expressions", "qualname": "Hex", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Histogram": {"fullname": "sqlglot.expressions.Histogram", "modulename": "sqlglot.expressions", "qualname": "Histogram", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.If": {"fullname": "sqlglot.expressions.If", "modulename": "sqlglot.expressions", "qualname": "If", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.IfNull": {"fullname": "sqlglot.expressions.IfNull", "modulename": "sqlglot.expressions", "qualname": "IfNull", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Initcap": {"fullname": "sqlglot.expressions.Initcap", "modulename": "sqlglot.expressions", "qualname": "Initcap", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.JSONKeyValue": {"fullname": "sqlglot.expressions.JSONKeyValue", "modulename": "sqlglot.expressions", "qualname": "JSONKeyValue", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.JSONObject": {"fullname": "sqlglot.expressions.JSONObject", "modulename": "sqlglot.expressions", "qualname": "JSONObject", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.JSONBContains": {"fullname": "sqlglot.expressions.JSONBContains", "modulename": "sqlglot.expressions", "qualname": "JSONBContains", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.JSONExtract": {"fullname": "sqlglot.expressions.JSONExtract", "modulename": "sqlglot.expressions", "qualname": "JSONExtract", "kind": "class", "doc": "\n", "bases": "Binary, Func"}, "sqlglot.expressions.JSONExtractScalar": {"fullname": "sqlglot.expressions.JSONExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONExtractScalar", "kind": "class", "doc": "\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtract": {"fullname": "sqlglot.expressions.JSONBExtract", "modulename": "sqlglot.expressions", "qualname": "JSONBExtract", "kind": "class", "doc": "\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtractScalar": {"fullname": "sqlglot.expressions.JSONBExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONBExtractScalar", "kind": "class", "doc": "\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONFormat": {"fullname": "sqlglot.expressions.JSONFormat", "modulename": "sqlglot.expressions", "qualname": "JSONFormat", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Least": {"fullname": "sqlglot.expressions.Least", "modulename": "sqlglot.expressions", "qualname": "Least", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Length": {"fullname": "sqlglot.expressions.Length", "modulename": "sqlglot.expressions", "qualname": "Length", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Levenshtein": {"fullname": "sqlglot.expressions.Levenshtein", "modulename": "sqlglot.expressions", "qualname": "Levenshtein", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Ln": {"fullname": "sqlglot.expressions.Ln", "modulename": "sqlglot.expressions", "qualname": "Ln", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Log": {"fullname": "sqlglot.expressions.Log", "modulename": "sqlglot.expressions", "qualname": "Log", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Log2": {"fullname": "sqlglot.expressions.Log2", "modulename": "sqlglot.expressions", "qualname": "Log2", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Log10": {"fullname": "sqlglot.expressions.Log10", "modulename": "sqlglot.expressions", "qualname": "Log10", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.LogicalOr": {"fullname": "sqlglot.expressions.LogicalOr", "modulename": "sqlglot.expressions", "qualname": "LogicalOr", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.LogicalAnd": {"fullname": "sqlglot.expressions.LogicalAnd", "modulename": "sqlglot.expressions", "qualname": "LogicalAnd", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Lower": {"fullname": "sqlglot.expressions.Lower", "modulename": "sqlglot.expressions", "qualname": "Lower", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Map": {"fullname": "sqlglot.expressions.Map", "modulename": "sqlglot.expressions", "qualname": "Map", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StarMap": {"fullname": "sqlglot.expressions.StarMap", "modulename": "sqlglot.expressions", "qualname": "StarMap", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.VarMap": {"fullname": "sqlglot.expressions.VarMap", "modulename": "sqlglot.expressions", "qualname": "VarMap", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.MatchAgainst": {"fullname": "sqlglot.expressions.MatchAgainst", "modulename": "sqlglot.expressions", "qualname": "MatchAgainst", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Max": {"fullname": "sqlglot.expressions.Max", "modulename": "sqlglot.expressions", "qualname": "Max", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.MD5": {"fullname": "sqlglot.expressions.MD5", "modulename": "sqlglot.expressions", "qualname": "MD5", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Min": {"fullname": "sqlglot.expressions.Min", "modulename": "sqlglot.expressions", "qualname": "Min", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Month": {"fullname": "sqlglot.expressions.Month", "modulename": "sqlglot.expressions", "qualname": "Month", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Nvl2": {"fullname": "sqlglot.expressions.Nvl2", "modulename": "sqlglot.expressions", "qualname": "Nvl2", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Posexplode": {"fullname": "sqlglot.expressions.Posexplode", "modulename": "sqlglot.expressions", "qualname": "Posexplode", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Pow": {"fullname": "sqlglot.expressions.Pow", "modulename": "sqlglot.expressions", "qualname": "Pow", "kind": "class", "doc": "\n", "bases": "Binary, Func"}, "sqlglot.expressions.PercentileCont": {"fullname": "sqlglot.expressions.PercentileCont", "modulename": "sqlglot.expressions", "qualname": "PercentileCont", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.PercentileDisc": {"fullname": "sqlglot.expressions.PercentileDisc", "modulename": "sqlglot.expressions", "qualname": "PercentileDisc", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantile": {"fullname": "sqlglot.expressions.Quantile", "modulename": "sqlglot.expressions", "qualname": "Quantile", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantiles": {"fullname": "sqlglot.expressions.Quantiles", "modulename": "sqlglot.expressions", "qualname": "Quantiles", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.QuantileIf": {"fullname": "sqlglot.expressions.QuantileIf", "modulename": "sqlglot.expressions", "qualname": "QuantileIf", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxQuantile": {"fullname": "sqlglot.expressions.ApproxQuantile", "modulename": "sqlglot.expressions", "qualname": "ApproxQuantile", "kind": "class", "doc": "\n", "bases": "Quantile"}, "sqlglot.expressions.RangeN": {"fullname": "sqlglot.expressions.RangeN", "modulename": "sqlglot.expressions", "qualname": "RangeN", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.ReadCSV": {"fullname": "sqlglot.expressions.ReadCSV", "modulename": "sqlglot.expressions", "qualname": "ReadCSV", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Reduce": {"fullname": "sqlglot.expressions.Reduce", "modulename": "sqlglot.expressions", "qualname": "Reduce", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RegexpExtract": {"fullname": "sqlglot.expressions.RegexpExtract", "modulename": "sqlglot.expressions", "qualname": "RegexpExtract", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RegexpLike": {"fullname": "sqlglot.expressions.RegexpLike", "modulename": "sqlglot.expressions", "qualname": "RegexpLike", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RegexpILike": {"fullname": "sqlglot.expressions.RegexpILike", "modulename": "sqlglot.expressions", "qualname": "RegexpILike", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RegexpSplit": {"fullname": "sqlglot.expressions.RegexpSplit", "modulename": "sqlglot.expressions", "qualname": "RegexpSplit", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Repeat": {"fullname": "sqlglot.expressions.Repeat", "modulename": "sqlglot.expressions", "qualname": "Repeat", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Round": {"fullname": "sqlglot.expressions.Round", "modulename": "sqlglot.expressions", "qualname": "Round", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RowNumber": {"fullname": "sqlglot.expressions.RowNumber", "modulename": "sqlglot.expressions", "qualname": "RowNumber", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.SafeDivide": {"fullname": "sqlglot.expressions.SafeDivide", "modulename": "sqlglot.expressions", "qualname": "SafeDivide", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.SetAgg": {"fullname": "sqlglot.expressions.SetAgg", "modulename": "sqlglot.expressions", "qualname": "SetAgg", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.SHA": {"fullname": "sqlglot.expressions.SHA", "modulename": "sqlglot.expressions", "qualname": "SHA", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.SHA2": {"fullname": "sqlglot.expressions.SHA2", "modulename": "sqlglot.expressions", "qualname": "SHA2", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.SortArray": {"fullname": "sqlglot.expressions.SortArray", "modulename": "sqlglot.expressions", "qualname": "SortArray", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Split": {"fullname": "sqlglot.expressions.Split", "modulename": "sqlglot.expressions", "qualname": "Split", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Substring": {"fullname": "sqlglot.expressions.Substring", "modulename": "sqlglot.expressions", "qualname": "Substring", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StrPosition": {"fullname": "sqlglot.expressions.StrPosition", "modulename": "sqlglot.expressions", "qualname": "StrPosition", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StrToDate": {"fullname": "sqlglot.expressions.StrToDate", "modulename": "sqlglot.expressions", "qualname": "StrToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StrToTime": {"fullname": "sqlglot.expressions.StrToTime", "modulename": "sqlglot.expressions", "qualname": "StrToTime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StrToUnix": {"fullname": "sqlglot.expressions.StrToUnix", "modulename": "sqlglot.expressions", "qualname": "StrToUnix", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.NumberToStr": {"fullname": "sqlglot.expressions.NumberToStr", "modulename": "sqlglot.expressions", "qualname": "NumberToStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Struct": {"fullname": "sqlglot.expressions.Struct", "modulename": "sqlglot.expressions", "qualname": "Struct", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StructExtract": {"fullname": "sqlglot.expressions.StructExtract", "modulename": "sqlglot.expressions", "qualname": "StructExtract", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Sum": {"fullname": "sqlglot.expressions.Sum", "modulename": "sqlglot.expressions", "qualname": "Sum", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Sqrt": {"fullname": "sqlglot.expressions.Sqrt", "modulename": "sqlglot.expressions", "qualname": "Sqrt", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Stddev": {"fullname": "sqlglot.expressions.Stddev", "modulename": "sqlglot.expressions", "qualname": "Stddev", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevPop": {"fullname": "sqlglot.expressions.StddevPop", "modulename": "sqlglot.expressions", "qualname": "StddevPop", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevSamp": {"fullname": "sqlglot.expressions.StddevSamp", "modulename": "sqlglot.expressions", "qualname": "StddevSamp", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.TimeToStr": {"fullname": "sqlglot.expressions.TimeToStr", "modulename": "sqlglot.expressions", "qualname": "TimeToStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeToTimeStr": {"fullname": "sqlglot.expressions.TimeToTimeStr", "modulename": "sqlglot.expressions", "qualname": "TimeToTimeStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeToUnix": {"fullname": "sqlglot.expressions.TimeToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeToUnix", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToDate": {"fullname": "sqlglot.expressions.TimeStrToDate", "modulename": "sqlglot.expressions", "qualname": "TimeStrToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToTime": {"fullname": "sqlglot.expressions.TimeStrToTime", "modulename": "sqlglot.expressions", "qualname": "TimeStrToTime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToUnix": {"fullname": "sqlglot.expressions.TimeStrToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeStrToUnix", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Trim": {"fullname": "sqlglot.expressions.Trim", "modulename": "sqlglot.expressions", "qualname": "Trim", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsAdd": {"fullname": "sqlglot.expressions.TsOrDsAdd", "modulename": "sqlglot.expressions", "qualname": "TsOrDsAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TsOrDsToDateStr": {"fullname": "sqlglot.expressions.TsOrDsToDateStr", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDateStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsToDate": {"fullname": "sqlglot.expressions.TsOrDsToDate", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TsOrDiToDi": {"fullname": "sqlglot.expressions.TsOrDiToDi", "modulename": "sqlglot.expressions", "qualname": "TsOrDiToDi", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Unhex": {"fullname": "sqlglot.expressions.Unhex", "modulename": "sqlglot.expressions", "qualname": "Unhex", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.UnixToStr": {"fullname": "sqlglot.expressions.UnixToStr", "modulename": "sqlglot.expressions", "qualname": "UnixToStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.UnixToTime": {"fullname": "sqlglot.expressions.UnixToTime", "modulename": "sqlglot.expressions", "qualname": "UnixToTime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.UnixToTimeStr": {"fullname": "sqlglot.expressions.UnixToTimeStr", "modulename": "sqlglot.expressions", "qualname": "UnixToTimeStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Upper": {"fullname": "sqlglot.expressions.Upper", "modulename": "sqlglot.expressions", "qualname": "Upper", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Variance": {"fullname": "sqlglot.expressions.Variance", "modulename": "sqlglot.expressions", "qualname": "Variance", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.VariancePop": {"fullname": "sqlglot.expressions.VariancePop", "modulename": "sqlglot.expressions", "qualname": "VariancePop", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Week": {"fullname": "sqlglot.expressions.Week", "modulename": "sqlglot.expressions", "qualname": "Week", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.XMLTable": {"fullname": "sqlglot.expressions.XMLTable", "modulename": "sqlglot.expressions", "qualname": "XMLTable", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Year": {"fullname": "sqlglot.expressions.Year", "modulename": "sqlglot.expressions", "qualname": "Year", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Use": {"fullname": "sqlglot.expressions.Use", "modulename": "sqlglot.expressions", "qualname": "Use", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Merge": {"fullname": "sqlglot.expressions.Merge", "modulename": "sqlglot.expressions", "qualname": "Merge", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.When": {"fullname": "sqlglot.expressions.When", "modulename": "sqlglot.expressions", "qualname": "When", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.maybe_parse": {"fullname": "sqlglot.expressions.maybe_parse", "modulename": "sqlglot.expressions", "qualname": "maybe_parse", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Gracefully handle a possible string or expression.
\n\n\n\n\n\n\n\n>>> maybe_parse("1")\n(LITERAL this: 1, is_string: False)\n>>> maybe_parse(to_identifier("x"))\n(IDENTIFIER this: x, quoted: False)\n
\n\n", "signature": "(\tsql_or_expression: Union[str, sqlglot.expressions.Expression],\t*,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tprefix: Optional[str] = None,\tcopy: bool = False,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.union": {"fullname": "sqlglot.expressions.union", "modulename": "sqlglot.expressions", "qualname": "union", "kind": "function", "doc": "Expression: the parsed or given expression.
\n
Initializes a syntax tree from one UNION expression.
\n\n\n\n\n\n\n\n>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.\n\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.intersect": {"fullname": "sqlglot.expressions.intersect", "modulename": "sqlglot.expressions", "qualname": "intersect", "kind": "function", "doc": "Union: the syntax tree for the UNION expression.
\n
Initializes a syntax tree from one INTERSECT expression.
\n\n\n\n\n\n\n\n>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.\n\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.except_": {"fullname": "sqlglot.expressions.except_", "modulename": "sqlglot.expressions", "qualname": "except_", "kind": "function", "doc": "Intersect: the syntax tree for the INTERSECT expression.
\n
Initializes a syntax tree from one EXCEPT expression.
\n\n\n\n\n\n\n\n>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.\n\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.select": {"fullname": "sqlglot.expressions.select", "modulename": "sqlglot.expressions", "qualname": "select", "kind": "function", "doc": "Except: the syntax tree for the EXCEPT statement.
\n
Initializes a syntax tree from one or multiple SELECT expressions.
\n\n\n\n\n\n\n\n>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n
\n\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.from_": {"fullname": "sqlglot.expressions.from_", "modulename": "sqlglot.expressions", "qualname": "from_", "kind": "function", "doc": "Select: the syntax tree for the SELECT statement.
\n
Initializes a syntax tree from a FROM expression.
\n\n\n\n\n\n\n\n>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n
\n\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.update": {"fullname": "sqlglot.expressions.update", "modulename": "sqlglot.expressions", "qualname": "update", "kind": "function", "doc": "Select: the syntax tree for the SELECT statement.
\n
Creates an update statement.
\n\n\n\n\n\n\n\n>>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()\n"UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"\n
\n\n", "signature": "(\ttable: str | sqlglot.expressions.Table,\tproperties: dict,\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tfrom_: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Update:", "funcdef": "def"}, "sqlglot.expressions.delete": {"fullname": "sqlglot.expressions.delete", "modulename": "sqlglot.expressions", "qualname": "delete", "kind": "function", "doc": "Update: the syntax tree for the UPDATE statement.
\n
Builds a delete statement.
\n\n\n\n\n\n\n\n>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n
\n\n", "signature": "(\ttable: Union[str, sqlglot.expressions.Expression],\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\treturning: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.condition": {"fullname": "sqlglot.expressions.condition", "modulename": "sqlglot.expressions", "qualname": "condition", "kind": "function", "doc": "Delete: the syntax tree for the DELETE statement.
\n
Initialize a logical condition expression.
\n\n\n\n\n\n\n \n\n>>> condition("x=1").sql()\n'x = 1'\n
This is helpful for composing larger logical syntax trees:
\n \n\n\n\n>>> where = condition("x=1")\n>>> where = where.and_("y=1")\n>>> Select().from_("tbl").select("*").where(where).sql()\n'SELECT * FROM tbl WHERE x = 1 AND y = 1'\n
\n\n", "signature": "(expression, dialect=None, **opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.and_": {"fullname": "sqlglot.expressions.and_", "modulename": "sqlglot.expressions", "qualname": "and_", "kind": "function", "doc": "Condition: the expression
\n
Combine multiple conditions with an AND logical operator.
\n\n\n\n\n\n\n\n>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n
\n\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.And:", "funcdef": "def"}, "sqlglot.expressions.or_": {"fullname": "sqlglot.expressions.or_", "modulename": "sqlglot.expressions", "qualname": "or_", "kind": "function", "doc": "And: the new condition
\n
Combine multiple conditions with an OR logical operator.
\n\n\n\n\n\n\n\n>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n
\n\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.Or:", "funcdef": "def"}, "sqlglot.expressions.not_": {"fullname": "sqlglot.expressions.not_", "modulename": "sqlglot.expressions", "qualname": "not_", "kind": "function", "doc": "Or: the new condition
\n
Wrap a condition with a NOT operator.
\n\n\n\n\n\n\n\n>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n
\n\n", "signature": "(expression, dialect=None, **opts) -> sqlglot.expressions.Not:", "funcdef": "def"}, "sqlglot.expressions.paren": {"fullname": "sqlglot.expressions.paren", "modulename": "sqlglot.expressions", "qualname": "paren", "kind": "function", "doc": "\n", "signature": "(expression) -> sqlglot.expressions.Paren:", "funcdef": "def"}, "sqlglot.expressions.to_identifier": {"fullname": "sqlglot.expressions.to_identifier", "modulename": "sqlglot.expressions", "qualname": "to_identifier", "kind": "function", "doc": "Not: the new condition
\n
Builds an identifier.
\n\n\n\n", "signature": "(name, quoted=None):", "funcdef": "def"}, "sqlglot.expressions.to_interval": {"fullname": "sqlglot.expressions.to_interval", "modulename": "sqlglot.expressions", "qualname": "to_interval", "kind": "function", "doc": "The identifier ast node.
\n
Builds an interval expression from a string like '1 day' or '5 months'.
\n", "signature": "(\tinterval: str | sqlglot.expressions.Literal) -> sqlglot.expressions.Interval:", "funcdef": "def"}, "sqlglot.expressions.to_table": {"fullname": "sqlglot.expressions.to_table", "modulename": "sqlglot.expressions", "qualname": "to_table", "kind": "function", "doc": "Create a table expression from a [catalog].[schema].[table]
sql path. Catalog and schema are optional.\nIf a table is passed in then that table is returned.
[catalog].[schema].[table]
string.\n\n", "signature": "(\tsql_path: Union[str, sqlglot.expressions.Table, NoneType],\t**kwargs) -> Optional[sqlglot.expressions.Table]:", "funcdef": "def"}, "sqlglot.expressions.to_column": {"fullname": "sqlglot.expressions.to_column", "modulename": "sqlglot.expressions", "qualname": "to_column", "kind": "function", "doc": "A table expression.
\n
Create a column from a [table].[column]
sql path. Schema is optional.
If a column is passed in then that column is returned.
\n\n[table].[column]
string\n\n", "signature": "(\tsql_path: str | sqlglot.expressions.Column,\t**kwargs) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.alias_": {"fullname": "sqlglot.expressions.alias_", "modulename": "sqlglot.expressions", "qualname": "alias_", "kind": "function", "doc": "Table: A column expression
\n
Create an Alias expression.
\n\n\n\n\n\n\n \n\n>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n
\n\n\n>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n
\n\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: str | sqlglot.expressions.Identifier,\ttable: Union[bool, Sequence[str | sqlglot.expressions.Identifier]] = False,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.subquery": {"fullname": "sqlglot.expressions.subquery", "modulename": "sqlglot.expressions", "qualname": "subquery", "kind": "function", "doc": "Alias: the aliased expression
\n
Build a subquery expression.
\n\n\n\n\n\n\n\n>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n
\n\n", "signature": "(expression, alias=None, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.column": {"fullname": "sqlglot.expressions.column", "modulename": "sqlglot.expressions", "qualname": "column", "kind": "function", "doc": "Select: a new select with the subquery expression included
\n
Build a Column.
\n\n\n\n", "signature": "(\tcol: str | sqlglot.expressions.Identifier,\ttable: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tdb: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tcatalog: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tquoted: Optional[bool] = None) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.cast": {"fullname": "sqlglot.expressions.cast", "modulename": "sqlglot.expressions", "qualname": "cast", "kind": "function", "doc": "Column: column instance
\n
Cast an expression to a data type.
\n\n\n\n\n\n\n\n>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n
\n\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tto: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\t**opts) -> sqlglot.expressions.Cast:", "funcdef": "def"}, "sqlglot.expressions.table_": {"fullname": "sqlglot.expressions.table_", "modulename": "sqlglot.expressions", "qualname": "table_", "kind": "function", "doc": "A cast node.
\n
Build a Table.
\n\n\n\n", "signature": "(\ttable,\tdb=None,\tcatalog=None,\tquoted=None,\talias=None) -> sqlglot.expressions.Table:", "funcdef": "def"}, "sqlglot.expressions.values": {"fullname": "sqlglot.expressions.values", "modulename": "sqlglot.expressions", "qualname": "values", "kind": "function", "doc": "Table: table instance
\n
Build VALUES statement.
\n\n\n\n\n\n\n\n>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n
\n\n", "signature": "(\tvalues: Iterable[Tuple[Any, ...]],\talias: Optional[str] = None,\tcolumns: Union[Iterable[str], Dict[str, sqlglot.expressions.DataType], NoneType] = None) -> sqlglot.expressions.Values:", "funcdef": "def"}, "sqlglot.expressions.var": {"fullname": "sqlglot.expressions.var", "modulename": "sqlglot.expressions", "qualname": "var", "kind": "function", "doc": "Values: the Values expression object
\n
Build a SQL variable.
\n\n\n\n\n\n\n \n\n>>> repr(var('x'))\n'(VAR this: x)'\n
\n\n\n>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n
\n\n", "signature": "(\tname: Union[str, sqlglot.expressions.Expression, NoneType]) -> sqlglot.expressions.Var:", "funcdef": "def"}, "sqlglot.expressions.rename_table": {"fullname": "sqlglot.expressions.rename_table", "modulename": "sqlglot.expressions", "qualname": "rename_table", "kind": "function", "doc": "The new variable node.
\n
Build ALTER TABLE... RENAME... expression
\n\n\n\n", "signature": "(\told_name: str | sqlglot.expressions.Table,\tnew_name: str | sqlglot.expressions.Table) -> sqlglot.expressions.AlterTable:", "funcdef": "def"}, "sqlglot.expressions.convert": {"fullname": "sqlglot.expressions.convert", "modulename": "sqlglot.expressions", "qualname": "convert", "kind": "function", "doc": "Alter table expression
\n
Convert a python value into an expression object.
\n\nRaises an error if a conversion is not possible.
\n\n\n\n", "signature": "(value) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.replace_children": {"fullname": "sqlglot.expressions.replace_children", "modulename": "sqlglot.expressions", "qualname": "replace_children", "kind": "function", "doc": "Expression: the equivalent expression object
\n
Replace children of an expression with the result of a lambda fun(child) -> exp.
\n", "signature": "(expression, fun, *args, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.column_table_names": {"fullname": "sqlglot.expressions.column_table_names", "modulename": "sqlglot.expressions", "qualname": "column_table_names", "kind": "function", "doc": "Return all table names referenced through columns in an expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))\n['c', 'a']\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.expressions.table_name": {"fullname": "sqlglot.expressions.table_name", "modulename": "sqlglot.expressions", "qualname": "table_name", "kind": "function", "doc": "list: A list of unique names
\n
Get the full name of a table as a string.
\n\n\n\n\n\n\n\n>>> from sqlglot import exp, parse_one\n>>> table_name(parse_one("select * from a.b.c").find(exp.Table))\n'a.b.c'\n
\n\n", "signature": "(table) -> str:", "funcdef": "def"}, "sqlglot.expressions.replace_tables": {"fullname": "sqlglot.expressions.replace_tables", "modulename": "sqlglot.expressions", "qualname": "replace_tables", "kind": "function", "doc": "The table name.
\n
Replace all tables in expression according to the mapping.
\n\n\n\n\n\n\n\n>>> from sqlglot import exp, parse_one\n>>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()\n'SELECT * FROM c'\n
\n\n", "signature": "(expression, mapping):", "funcdef": "def"}, "sqlglot.expressions.replace_placeholders": {"fullname": "sqlglot.expressions.replace_placeholders", "modulename": "sqlglot.expressions", "qualname": "replace_placeholders", "kind": "function", "doc": "The mapped expression.
\n
Replace placeholders in an expression.
\n\n\n\n\n\n\n\n>>> from sqlglot import exp, parse_one\n>>> replace_placeholders(\n... parse_one("select * from :tbl where ? = ?"),\n... exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")\n... ).sql()\n"SELECT * FROM foo WHERE str_col = 'b'"\n
\n\n", "signature": "(expression, *args, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.expand": {"fullname": "sqlglot.expressions.expand", "modulename": "sqlglot.expressions", "qualname": "expand", "kind": "function", "doc": "The mapped expression.
\n
Transforms an expression by expanding all referenced sources into subqueries.
\n\n\n\n\n\n\n \n\n>>> from sqlglot import parse_one\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()\n'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'\n
\n\n\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()\n'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'\n
\n\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tsources: Dict[str, sqlglot.expressions.Subqueryable],\tcopy: bool = True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.func": {"fullname": "sqlglot.expressions.func", "modulename": "sqlglot.expressions", "qualname": "func", "kind": "function", "doc": "The transformed expression.
\n
Returns a Func expression.
\n\n\n\n\n\n\n \n\n>>> func("abs", 5).sql()\n'ABS(5)'\n
\n\n\n>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n
\n\n\nThe arguments
\nargs
andkwargs
are mutually exclusive.
\n\n", "signature": "(\tname: str,\t*args,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.Func:", "funcdef": "def"}, "sqlglot.expressions.true": {"fullname": "sqlglot.expressions.true", "modulename": "sqlglot.expressions", "qualname": "true", "kind": "function", "doc": "An instance of the function of interest, or an anonymous function, if
\nname
doesn't\n correspond to an existingsqlglot.expressions.Func
class.
Returns a true Boolean expression.
\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.false": {"fullname": "sqlglot.expressions.false", "modulename": "sqlglot.expressions", "qualname": "false", "kind": "function", "doc": "Returns a false Boolean expression.
\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.null": {"fullname": "sqlglot.expressions.null", "modulename": "sqlglot.expressions", "qualname": "null", "kind": "function", "doc": "Returns a Null expression.
\n", "signature": "():", "funcdef": "def"}, "sqlglot.generator": {"fullname": "sqlglot.generator", "modulename": "sqlglot.generator", "kind": "module", "doc": "\n"}, "sqlglot.generator.Generator": {"fullname": "sqlglot.generator.Generator", "modulename": "sqlglot.generator", "qualname": "Generator", "kind": "class", "doc": "Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nGenerates a SQL string by interpreting the given syntax tree.
\n\nArgs\n expression: the syntax tree.\n cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.
\n\nReturns\n the SQL string.
\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\tcache: Optional[Dict[int, str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unsupported": {"fullname": "sqlglot.generator.Generator.unsupported", "modulename": "sqlglot.generator", "qualname": "Generator.unsupported", "kind": "function", "doc": "\n", "signature": "(self, message: str) -> None:", "funcdef": "def"}, "sqlglot.generator.Generator.sep": {"fullname": "sqlglot.generator.Generator.sep", "modulename": "sqlglot.generator", "qualname": "Generator.sep", "kind": "function", "doc": "\n", "signature": "(self, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.seg": {"fullname": "sqlglot.generator.Generator.seg", "modulename": "sqlglot.generator", "qualname": "Generator.seg", "kind": "function", "doc": "\n", "signature": "(self, sql: str, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pad_comment": {"fullname": "sqlglot.generator.Generator.pad_comment", "modulename": "sqlglot.generator", "qualname": "Generator.pad_comment", "kind": "function", "doc": "\n", "signature": "(self, comment: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.maybe_comment": {"fullname": "sqlglot.generator.Generator.maybe_comment", "modulename": "sqlglot.generator", "qualname": "Generator.maybe_comment", "kind": "function", "doc": "\n", "signature": "(\tself,\tsql: str,\texpression: Optional[sqlglot.expressions.Expression] = None,\tcomments: Optional[List[str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.wrap": {"fullname": "sqlglot.generator.Generator.wrap", "modulename": "sqlglot.generator", "qualname": "Generator.wrap", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression | str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.no_identify": {"fullname": "sqlglot.generator.Generator.no_identify", "modulename": "sqlglot.generator", "qualname": "Generator.no_identify", "kind": "function", "doc": "\n", "signature": "(self, func: Callable[..., str], *args, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.normalize_func": {"fullname": "sqlglot.generator.Generator.normalize_func", "modulename": "sqlglot.generator", "qualname": "Generator.normalize_func", "kind": "function", "doc": "\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.indent": {"fullname": "sqlglot.generator.Generator.indent", "modulename": "sqlglot.generator", "qualname": "Generator.indent", "kind": "function", "doc": "\n", "signature": "(\tself,\tsql: str,\tlevel: int = 0,\tpad: Optional[int] = None,\tskip_first: bool = False,\tskip_last: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sql": {"fullname": "sqlglot.generator.Generator.sql", "modulename": "sqlglot.generator", "qualname": "Generator.sql", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, NoneType],\tkey: Optional[str] = None,\tcomment: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uncache_sql": {"fullname": "sqlglot.generator.Generator.uncache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uncache_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Uncache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cache_sql": {"fullname": "sqlglot.generator.Generator.cache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cache_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Cache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.characterset_sql": {"fullname": "sqlglot.generator.Generator.characterset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.characterset_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.CharacterSet) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.column_sql": {"fullname": "sqlglot.generator.Generator.column_sql", "modulename": "sqlglot.generator", "qualname": "Generator.column_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnposition_sql": {"fullname": "sqlglot.generator.Generator.columnposition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnposition_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ColumnPosition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columndef_sql": {"fullname": "sqlglot.generator.Generator.columndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columndef_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnconstraint_sql": {"fullname": "sqlglot.generator.Generator.columnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.autoincrementcolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.compresscolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.compresscolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.CompressColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.notnullcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.notnullcolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.NotNullColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.primarykeycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykeycolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.PrimaryKeyColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.uniquecolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uniquecolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.create_sql": {"fullname": "sqlglot.generator.Generator.create_sql", "modulename": "sqlglot.generator", "qualname": "Generator.create_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.describe_sql": {"fullname": "sqlglot.generator.Generator.describe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.describe_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.prepend_ctes": {"fullname": "sqlglot.generator.Generator.prepend_ctes", "modulename": "sqlglot.generator", "qualname": "Generator.prepend_ctes", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression, sql: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_sql": {"fullname": "sqlglot.generator.Generator.with_sql", "modulename": "sqlglot.generator", "qualname": "Generator.with_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cte_sql": {"fullname": "sqlglot.generator.Generator.cte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cte_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablealias_sql": 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"sqlglot.generator.Generator.is_sql", "modulename": "sqlglot.generator", "qualname": "Generator.is_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Is) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.like_sql": {"fullname": "sqlglot.generator.Generator.like_sql", "modulename": "sqlglot.generator", "qualname": "Generator.like_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Like) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeany_sql": {"fullname": "sqlglot.generator.Generator.likeany_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeany_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.LikeAny) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.similarto_sql": {"fullname": "sqlglot.generator.Generator.similarto_sql", "modulename": "sqlglot.generator", "qualname": "Generator.similarto_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.SimilarTo) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lt_sql": {"fullname": "sqlglot.generator.Generator.lt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lt_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.LT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lte_sql": {"fullname": "sqlglot.generator.Generator.lte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lte_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.LTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mod_sql": {"fullname": "sqlglot.generator.Generator.mod_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mod_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mul_sql": {"fullname": "sqlglot.generator.Generator.mul_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mul_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Mul) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neq_sql": {"fullname": "sqlglot.generator.Generator.neq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neq_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.NEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeeq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeeq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeeq_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.NullSafeEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeneq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeneq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeneq_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.NullSafeNEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.or_sql": {"fullname": "sqlglot.generator.Generator.or_sql", "modulename": "sqlglot.generator", "qualname": "Generator.or_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Or) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.slice_sql": {"fullname": "sqlglot.generator.Generator.slice_sql", "modulename": "sqlglot.generator", "qualname": "Generator.slice_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Slice) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sub_sql": {"fullname": "sqlglot.generator.Generator.sub_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sub_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Sub) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trycast_sql": {"fullname": "sqlglot.generator.Generator.trycast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trycast_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.use_sql": {"fullname": "sqlglot.generator.Generator.use_sql", "modulename": "sqlglot.generator", "qualname": "Generator.use_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Use) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.binary": {"fullname": "sqlglot.generator.Generator.binary", "modulename": "sqlglot.generator", "qualname": "Generator.binary", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Binary, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.function_fallback_sql": {"fullname": "sqlglot.generator.Generator.function_fallback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.function_fallback_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Func) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.func": {"fullname": "sqlglot.generator.Generator.func", "modulename": "sqlglot.generator", "qualname": "Generator.func", "kind": "function", "doc": "\n", "signature": "(\tself,\tname: str,\t*args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.format_args": {"fullname": "sqlglot.generator.Generator.format_args", "modulename": "sqlglot.generator", "qualname": "Generator.format_args", "kind": "function", "doc": "\n", "signature": "(self, *args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.text_width": {"fullname": "sqlglot.generator.Generator.text_width", "modulename": "sqlglot.generator", "qualname": "Generator.text_width", "kind": "function", "doc": "\n", "signature": "(self, args: Iterable) -> int:", "funcdef": "def"}, "sqlglot.generator.Generator.format_time": {"fullname": "sqlglot.generator.Generator.format_time", "modulename": "sqlglot.generator", "qualname": "Generator.format_time", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> Optional[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.expressions": {"fullname": "sqlglot.generator.Generator.expressions", "modulename": "sqlglot.generator", "qualname": "Generator.expressions", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression] = None,\tkey: Optional[str] = None,\tsqls: Optional[List[str]] = None,\tflat: bool = False,\tindent: bool = True,\tsep: str = ', ',\tprefix: str = '') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.op_expressions": {"fullname": "sqlglot.generator.Generator.op_expressions", "modulename": "sqlglot.generator", "qualname": "Generator.op_expressions", "kind": "function", "doc": "\n", "signature": "(\tself,\top: str,\texpression: sqlglot.expressions.Expression,\tflat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.naked_property": {"fullname": "sqlglot.generator.Generator.naked_property", "modulename": "sqlglot.generator", "qualname": "Generator.naked_property", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_operation": {"fullname": "sqlglot.generator.Generator.set_operation", "modulename": "sqlglot.generator", "qualname": "Generator.set_operation", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tag_sql": {"fullname": "sqlglot.generator.Generator.tag_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tag_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Tag) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.token_sql": {"fullname": "sqlglot.generator.Generator.token_sql", "modulename": "sqlglot.generator", "qualname": "Generator.token_sql", "kind": "function", "doc": "\n", "signature": "(self, token_type: sqlglot.tokens.TokenType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"fullname": "sqlglot.generator.Generator.userdefinedfunction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.userdefinedfunction_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.UserDefinedFunction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.joinhint_sql": {"fullname": "sqlglot.generator.Generator.joinhint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.joinhint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.JoinHint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.kwarg_sql": {"fullname": "sqlglot.generator.Generator.kwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.kwarg_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Kwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.when_sql": {"fullname": "sqlglot.generator.Generator.when_sql", "modulename": "sqlglot.generator", "qualname": "Generator.when_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.When) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.merge_sql": {"fullname": "sqlglot.generator.Generator.merge_sql", "modulename": "sqlglot.generator", "qualname": "Generator.merge_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Merge) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tochar_sql": {"fullname": "sqlglot.generator.Generator.tochar_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tochar_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ToChar) -> str:", "funcdef": "def"}, "sqlglot.helper": {"fullname": "sqlglot.helper", "modulename": "sqlglot.helper", "kind": "module", "doc": "\n"}, "sqlglot.helper.AutoName": {"fullname": "sqlglot.helper.AutoName", "modulename": "sqlglot.helper", "qualname": "AutoName", "kind": "class", "doc": "This is used for creating enum classes where auto()
is the string form of the corresponding value's name.
Returns the value in seq
at position index
, or None
if index
is out of bounds.
Ensures that a value is a list, otherwise casts or wraps it into one.
\n\n\n\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.ensure_collection": {"fullname": "sqlglot.helper.ensure_collection", "modulename": "sqlglot.helper", "qualname": "ensure_collection", "kind": "function", "doc": "The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
\n
Ensures that a value is a collection (excluding str
and bytes
), otherwise wraps it into a list.
\n\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.csv": {"fullname": "sqlglot.helper.csv", "modulename": "sqlglot.helper", "qualname": "csv", "kind": "function", "doc": "The value if it's a collection, or else the value wrapped in a list.
\n
Formats any number of string arguments as CSV.
\n\n\n\n", "signature": "(*args, sep: str = ', ') -> str:", "funcdef": "def"}, "sqlglot.helper.subclasses": {"fullname": "sqlglot.helper.subclasses", "modulename": "sqlglot.helper", "qualname": "subclasses", "kind": "function", "doc": "The arguments formatted as a CSV string.
\n
Returns all subclasses for a collection of classes, possibly excluding some of them.
\n\n\n\n", "signature": "(\tmodule_name: str,\tclasses: Union[Type, Tuple[Type, ...]],\texclude: Union[Type, Tuple[Type, ...]] = ()) -> List[Type]:", "funcdef": "def"}, "sqlglot.helper.apply_index_offset": {"fullname": "sqlglot.helper.apply_index_offset", "modulename": "sqlglot.helper", "qualname": "apply_index_offset", "kind": "function", "doc": "The target subclasses.
\n
Applies an offset to a given integer literal expression.
\n\n\n\n", "signature": "(\tthis: sqlglot.expressions.Expression,\texpressions: List[Optional[~E]],\toffset: int) -> List[Optional[~E]]:", "funcdef": "def"}, "sqlglot.helper.camel_to_snake_case": {"fullname": "sqlglot.helper.camel_to_snake_case", "modulename": "sqlglot.helper", "qualname": "camel_to_snake_case", "kind": "function", "doc": "The original expression with the offset applied to it, wrapped in a list. If the provided\n
\nexpressions
argument contains more than one expressions, it's returned unaffected.
Converts name
from camelCase to snake_case and returns the result.
Applies a transformation to a given expression until a fix point is reached.
\n\n\n\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfunc: Callable[[sqlglot.expressions.Expression], ~E]) -> ~E:", "funcdef": "def"}, "sqlglot.helper.tsort": {"fullname": "sqlglot.helper.tsort", "modulename": "sqlglot.helper", "qualname": "tsort", "kind": "function", "doc": "The transformed expression.
\n
Sorts a given directed acyclic graph in topological order.
\n\n\n\n", "signature": "(dag: Dict[~T, List[~T]]) -> List[~T]:", "funcdef": "def"}, "sqlglot.helper.open_file": {"fullname": "sqlglot.helper.open_file", "modulename": "sqlglot.helper", "qualname": "open_file", "kind": "function", "doc": "A list that contains all of the graph's nodes in topological order.
\n
Open a file that may be compressed as gzip and return it in universal newline mode.
\n", "signature": "(file_name: str) -> <class 'TextIO'>:", "funcdef": "def"}, "sqlglot.helper.csv_reader": {"fullname": "sqlglot.helper.csv_reader", "modulename": "sqlglot.helper", "qualname": "csv_reader", "kind": "function", "doc": "Returns a csv reader given the expression READ_CSV(name, ['delimiter', '|', ...])
.
ReadCSV
function call\n\n", "signature": "(read_csv: sqlglot.expressions.ReadCSV) -> Any:", "funcdef": "def"}, "sqlglot.helper.find_new_name": {"fullname": "sqlglot.helper.find_new_name", "modulename": "sqlglot.helper", "qualname": "find_new_name", "kind": "function", "doc": "A python csv reader.
\n
Searches for a new name.
\n\n\n\n", "signature": "(taken: Collection[str], base: str) -> str:", "funcdef": "def"}, "sqlglot.helper.object_to_dict": {"fullname": "sqlglot.helper.object_to_dict", "modulename": "sqlglot.helper", "qualname": "object_to_dict", "kind": "function", "doc": "The new, available name.
\n
Returns a dictionary created from an object's attributes.
\n", "signature": "(obj: Any, **kwargs) -> Dict:", "funcdef": "def"}, "sqlglot.helper.split_num_words": {"fullname": "sqlglot.helper.split_num_words", "modulename": "sqlglot.helper", "qualname": "split_num_words", "kind": "function", "doc": "Perform a split on a value and return N words as a result with None
used for words that don't exist.
None
values should be inserted at the start or end of the list.\n\n\n\n\n\n>>> split_num_words("db.table", ".", 3)\n[None, 'db', 'table']\n>>> split_num_words("db.table", ".", 3, fill_from_start=False)\n['db', 'table', None]\n>>> split_num_words("db.table", ".", 1)\n['db', 'table']\n
\n\n", "signature": "(\tvalue: str,\tsep: str,\tmin_num_words: int,\tfill_from_start: bool = True) -> List[Optional[str]]:", "funcdef": "def"}, "sqlglot.helper.is_iterable": {"fullname": "sqlglot.helper.is_iterable", "modulename": "sqlglot.helper", "qualname": "is_iterable", "kind": "function", "doc": "The list of words returned by
\nsplit
, possibly augmented by a number ofNone
values.
Checks if the value is an iterable, excluding the types str
and bytes
.
\n\n\n\n\n\n>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n
\n\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "sqlglot.helper.flatten": {"fullname": "sqlglot.helper.flatten", "modulename": "sqlglot.helper", "qualname": "flatten", "kind": "function", "doc": "A
\nbool
value indicating if it is an iterable.
Flattens an iterable that can contain both iterable and non-iterable elements. Objects of\ntype str
and bytes
are not regarded as iterables.
\n\n\n\n\n\n>>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))\n[1, 2, 3, 4, 5, 'bla']\n>>> list(flatten([1, 2, 3]))\n[1, 2, 3]\n
\n\n", "signature": "(values: Iterable[Union[Iterable[Any], Any]]) -> Iterator[Any]:", "funcdef": "def"}, "sqlglot.helper.count_params": {"fullname": "sqlglot.helper.count_params", "modulename": "sqlglot.helper", "qualname": "count_params", "kind": "function", "doc": "Non-iterable elements in
\nvalues
.
Returns the number of formal parameters expected by a function, without counting \"self\"\nand \"cls\", in case of instance and class methods, respectively.
\n", "signature": "(function: Callable) -> int:", "funcdef": "def"}, "sqlglot.helper.dict_depth": {"fullname": "sqlglot.helper.dict_depth", "modulename": "sqlglot.helper", "qualname": "dict_depth", "kind": "function", "doc": "Get the nesting depth of a dictionary.
\n\n\n\n\n\n\n\n>>> dict_depth(None)\n0\n>>> dict_depth({})\n1\n>>> dict_depth({"a": "b"})\n1\n>>> dict_depth({"a": {}})\n2\n>>> dict_depth({"a": {"b": {}}})\n3\n
\n\n", "signature": "(d: Dict) -> int:", "funcdef": "def"}, "sqlglot.helper.first": {"fullname": "sqlglot.helper.first", "modulename": "sqlglot.helper", "qualname": "first", "kind": "function", "doc": "int: depth
\n
Returns the first element from an iterable.
\n\nUseful for sets.
\n", "signature": "(it: Iterable[~T]) -> ~T:", "funcdef": "def"}, "sqlglot.helper.should_identify": {"fullname": "sqlglot.helper.should_identify", "modulename": "sqlglot.helper", "qualname": "should_identify", "kind": "function", "doc": "Checks if text should be identified given an identify option.
\n\n\n\n", "signature": "(text: str, identify: str | bool) -> bool:", "funcdef": "def"}, "sqlglot.lineage": {"fullname": "sqlglot.lineage", "modulename": "sqlglot.lineage", "kind": "module", "doc": "\n"}, "sqlglot.lineage.Node": {"fullname": "sqlglot.lineage.Node", "modulename": "sqlglot.lineage", "qualname": "Node", "kind": "class", "doc": "\n"}, "sqlglot.lineage.Node.__init__": {"fullname": "sqlglot.lineage.Node.__init__", "modulename": "sqlglot.lineage", "qualname": "Node.__init__", "kind": "function", "doc": "\n", "signature": "(\tname: str,\texpression: sqlglot.expressions.Expression,\tsource: sqlglot.expressions.Expression,\tdownstream: List[sqlglot.lineage.Node] = <factory>,\talias: str = '')"}, "sqlglot.lineage.Node.walk": {"fullname": "sqlglot.lineage.Node.walk", "modulename": "sqlglot.lineage", "qualname": "Node.walk", "kind": "function", "doc": "\n", "signature": "(self) -> Iterator[sqlglot.lineage.Node]:", "funcdef": "def"}, "sqlglot.lineage.Node.to_html": {"fullname": "sqlglot.lineage.Node.to_html", "modulename": "sqlglot.lineage", "qualname": "Node.to_html", "kind": "function", "doc": "\n", "signature": "(self, **opts) -> sqlglot.lineage.LineageHTML:", "funcdef": "def"}, "sqlglot.lineage.lineage": {"fullname": "sqlglot.lineage.lineage", "modulename": "sqlglot.lineage", "qualname": "lineage", "kind": "function", "doc": "Whether or not a string should be identified.
\n
Build the lineage graph for a column of a SQL query.
\n\n\n\n", "signature": "(\tcolumn: str | sqlglot.expressions.Column,\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tsources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,\trules: Sequence[Callable] = (<function qualify_tables at 0x7fac3cdc5630>, <function qualify_columns at 0x7fac3cdc4550>, <function expand_laterals at 0x7fac3cd8eb90>),\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node:", "funcdef": "def"}, "sqlglot.lineage.LineageHTML": {"fullname": "sqlglot.lineage.LineageHTML", "modulename": "sqlglot.lineage", "qualname": "LineageHTML", "kind": "class", "doc": "A lineage node.
\n
Node to HTML generator using vis.js.
\n\nhttps://visjs.github.io/vis-network/docs/network/
\n"}, "sqlglot.lineage.LineageHTML.__init__": {"fullname": "sqlglot.lineage.LineageHTML.__init__", "modulename": "sqlglot.lineage", "qualname": "LineageHTML.__init__", "kind": "function", "doc": "\n", "signature": "(\tnode: sqlglot.lineage.Node,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\timports: bool = True,\t**opts: Any)"}, "sqlglot.optimizer": {"fullname": "sqlglot.optimizer", "modulename": "sqlglot.optimizer", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.annotate_types.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "annotate_types", "kind": "function", "doc": "Recursively infer & annotate types in an expression syntax tree against a schema.\nAssumes that we've already executed the optimizer's qualify_columns step.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> schema = {"y": {"cola": "SMALLINT"}}\n>>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"\n>>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)\n>>> annotated_expr.expressions[0].type.this # Get the type of "x.cola + 2.5 AS cola"\n<Type.DOUBLE: 'DOUBLE'>\n
\n\n", "signature": "(expression, schema=None, annotators=None, coerces_to=None):", "funcdef": "def"}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator", "kind": "class", "doc": "\n"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.__init__", "kind": "function", "doc": "\n", "signature": "(schema=None, annotators=None, coerces_to=None)"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.annotate", "kind": "function", "doc": "\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.optimizer.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.canonicalize.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "canonicalize", "kind": "function", "doc": "sqlglot.Expression: expression annotated with types
\n
Converts a sql expression into a standard form.
\n\nThis method relies on annotate_types because many of the\nconversions rely on type inference.
\n\nRemove unused CTEs from an expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "WITH y AS (SELECT a FROM x) SELECT a FROM z"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_ctes(expression).sql()\n'SELECT a FROM z'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "eliminate_joins", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Remove unused joins from an expression.
\n\nThis only removes joins when we know that the join condition doesn't produce duplicate rows.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "SELECT x.a FROM x LEFT JOIN (SELECT DISTINCT y.b FROM y) AS y ON x.b = y.b"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_joins(expression).sql()\n'SELECT x.a FROM x'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins.join_condition": {"fullname": "sqlglot.optimizer.eliminate_joins.join_condition", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "join_condition", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Extract the join condition from a join expression.
\n\n\n\n", "signature": "(join):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "qualname": "eliminate_subqueries", "kind": "function", "doc": "tuple[list[str], list[str], exp.Expression]:\n Tuple of (source key, join key, remaining predicate)
\n
Rewrite derived tables as CTES, deduplicating if possible.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y'\n
\n\n\n\n\n\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y JOIN (SELECT * FROM x) AS z")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y JOIN y AS z'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.expand_laterals": {"fullname": "sqlglot.optimizer.expand_laterals", "modulename": "sqlglot.optimizer.expand_laterals", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"fullname": "sqlglot.optimizer.expand_laterals.expand_laterals", "modulename": "sqlglot.optimizer.expand_laterals", "qualname": "expand_laterals", "kind": "function", "doc": "sqlglot.Expression: expression
\n
Expand lateral column alias references.
\n\nThis assumes qualify_columns
as already run.
\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "SELECT x.a + 1 AS b, b + 1 AS c FROM x"\n>>> expression = sqlglot.parse_one(sql)\n>>> expand_laterals(expression).sql()\n'SELECT x.a + 1 AS b, x.a + 1 + 1 AS c FROM x'\n
\n\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.expand_multi_table_selects": {"fullname": "sqlglot.optimizer.expand_multi_table_selects", "modulename": "sqlglot.optimizer.expand_multi_table_selects", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"fullname": "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects", "modulename": "sqlglot.optimizer.expand_multi_table_selects", "qualname": "expand_multi_table_selects", "kind": "function", "doc": "optimized expression
\n
Replace multiple FROM expressions with JOINs.
\n\n\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "qualname": "isolate_table_selects", "kind": "function", "doc": "\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.lower_identities.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "qualname": "lower_identities", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> expand_multi_table_selects(parse_one("SELECT * FROM x, y")).sql()\n'SELECT * FROM x CROSS JOIN y'\n
Convert all unquoted identifiers to lower case.
\n\nAssuming the schema is all lower case, this essentially makes identifiers case-insensitive.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> lower_identities(expression).sql()\n'SELECT bar.a AS A FROM "Foo".bar'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_subqueries", "kind": "function", "doc": "sqlglot.Expression: quoted expression
\n
Rewrite sqlglot AST to merge derived tables into the outer query.
\n\nThis also merges CTEs if they are selected from only once.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT x.a FROM x) JOIN y")\n>>> merge_subqueries(expression).sql()\n'SELECT x.a FROM x JOIN y'\n
If leave_tables_isolated
is True, this will not merge inner queries into outer\nqueries if it would result in multiple table selects in a single query:
\n\n\n\n\n\n\nexpression = sqlglot.parse_one(\"SELECT a FROM (SELECT x.a FROM x) JOIN y\")\n merge_subqueries(expression, leave_tables_isolated=True).sql()\n 'SELECT a FROM (SELECT x.a FROM x) JOIN y'
\n
Inspired by https://dev.mysql.com/doc/refman/8.0/en/derived-table-optimization.html
\n\n\n\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_ctes", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_ctes", "kind": "function", "doc": "\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_derived_tables", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_derived_tables", "kind": "function", "doc": "\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize": {"fullname": "sqlglot.optimizer.normalize", "modulename": "sqlglot.optimizer.normalize", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.normalize.normalize": {"fullname": "sqlglot.optimizer.normalize.normalize", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalize", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Rewrite sqlglot AST into conjunctive normal form or disjunctive normal form.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("(x AND y) OR z")\n>>> normalize(expression, dnf=False).sql()\n'(x OR z) AND (y OR z)'\n
\n\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tdnf: bool = False,\tmax_distance: int = 128):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalized": {"fullname": "sqlglot.optimizer.normalize.normalized", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalized", "kind": "function", "doc": "\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalization_distance": {"fullname": "sqlglot.optimizer.normalize.normalization_distance", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalization_distance", "kind": "function", "doc": "sqlglot.Expression: normalized expression
\n
The difference in the number of predicates between the current expression and the normalized form.
\n\nThis is used as an estimate of the cost of the conversion which is exponential in complexity.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n
\n\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.distributive_law": {"fullname": "sqlglot.optimizer.normalize.distributive_law", "modulename": "sqlglot.optimizer.normalize", "qualname": "distributive_law", "kind": "function", "doc": "int: difference
\n
x OR (y AND z) -> (x OR y) AND (x OR z)\n(x AND y) OR (y AND z) -> (x OR y) AND (x OR z) AND (y OR y) AND (y OR z)
\n", "signature": "(expression, dnf, max_distance, cache=None):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "optimize_joins", "kind": "function", "doc": "Removes cross joins if possible and reorder joins based on predicate dependencies.
\n\n\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"fullname": "sqlglot.optimizer.optimize_joins.reorder_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "reorder_joins", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> optimize_joins(parse_one("SELECT * FROM x CROSS JOIN y JOIN z ON x.a = z.a AND y.a = z.a")).sql()\n'SELECT * FROM x JOIN z ON x.a = z.a AND TRUE JOIN y ON y.a = z.a'\n
Reorder joins by topological sort order based on predicate references.
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.normalize": {"fullname": "sqlglot.optimizer.optimize_joins.normalize", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "normalize", "kind": "function", "doc": "Remove INNER and OUTER from joins as they are optional.
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.other_table_names": {"fullname": "sqlglot.optimizer.optimize_joins.other_table_names", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "other_table_names", "kind": "function", "doc": "\n", "signature": "(join, exclude):", "funcdef": "def"}, "sqlglot.optimizer.optimizer": {"fullname": "sqlglot.optimizer.optimizer", "modulename": "sqlglot.optimizer.optimizer", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.optimizer.optimize": {"fullname": "sqlglot.optimizer.optimizer.optimize", "modulename": "sqlglot.optimizer.optimizer", "qualname": "optimize", "kind": "function", "doc": "Rewrite a sqlglot AST into an optimized form.
\n\nsqlglot.optimizer.Schema
or a mapping in one of\nthe following forms:\n 1. {table: {col: type}}\n 2. {db: {table: {col: type}}}\n 3. {catalog: {db: {table: {col: type}}}}\nIf no schema is provided then the default schema defined at sqlgot.schema
will be usedUSE DATABASE db
statementUSE CATALOG c
statement\n\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\trules: Sequence[Callable] = (<function lower_identities at 0x7fac3cd8eef0>, <function qualify_tables at 0x7fac3cdc5630>, <function isolate_table_selects at 0x7fac3cd8edd0>, <function qualify_columns at 0x7fac3cdc4550>, <function expand_laterals at 0x7fac3cd8eb90>, <function pushdown_projections at 0x7fac3cdc5000>, <function validate_qualify_columns at 0x7fac3cdc45e0>, <function normalize at 0x7fac3cd8c9d0>, <function unnest_subqueries at 0x7fac3cdc5750>, <function expand_multi_table_selects at 0x7fac3cd8ed40>, <function pushdown_predicates at 0x7fac3cdc40d0>, <function optimize_joins at 0x7fac3cd8fc70>, <function eliminate_subqueries at 0x7fac3cd8e7a0>, <function merge_subqueries at 0x7fac3cd8f1c0>, <function eliminate_joins at 0x7fac3cd8c8b0>, <function eliminate_ctes at 0x7fac3cd8c790>, <function annotate_types at 0x7fac3cd5cdc0>, <function canonicalize at 0x7fac3cd8c1f0>, <function simplify at 0x7fac3cd8caf0>),\t**kwargs):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_predicates", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Rewrite sqlglot AST to pushdown predicates in FROMS and JOINS
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "SELECT * FROM (SELECT * FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT * FROM (SELECT * FROM x AS x WHERE y.a = 1) AS y WHERE TRUE'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown", "kind": "function", "doc": "\n", "signature": "(condition, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_cnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_cnf", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
If the predicates are in CNF like form, we can simply replace each block in the parent.
\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_dnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_dnf", "kind": "function", "doc": "If the predicates are in DNF form, we can only push down conditions that are in all blocks.\nAdditionally, we can't remove predicates from their original form.
\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"fullname": "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "nodes_for_predicate", "kind": "function", "doc": "\n", "signature": "(predicate, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"fullname": "sqlglot.optimizer.pushdown_predicates.replace_aliases", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "replace_aliases", "kind": "function", "doc": "\n", "signature": "(source, predicate):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"fullname": "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "DEFAULT_SELECTION", "kind": "function", "doc": "\n", "signature": "():", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "pushdown_projections", "kind": "function", "doc": "Rewrite sqlglot AST to remove unused columns projections.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a, x.b AS b FROM x) AS y"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_projections(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x) AS y'\n
\n\n", "signature": "(expression, schema=None, remove_unused_selections=True):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "qualify_columns", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Rewrite sqlglot AST to have fully qualified columns.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify_columns(expression, schema).sql()\n'SELECT tbl.col AS col FROM tbl'\n
\n\n", "signature": "(expression, schema):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.validate_qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "validate_qualify_columns", "kind": "function", "doc": "sqlglot.Expression: qualified expression
\n
Raise an OptimizeError
if any columns aren't qualified
Helper for resolving columns.
\n\nThis is a class so we can lazily load some things and easily share them across functions.
\n"}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.__init__", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.__init__", "kind": "function", "doc": "\n", "signature": "(scope, schema)"}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_table", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_table", "kind": "function", "doc": "Get the table for a column name.
\n\n\n\n", "signature": "(self, column_name: str) -> Optional[sqlglot.expressions.Identifier]:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.all_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.all_columns", "kind": "variable", "doc": "The table name if it can be found/inferred.
\n
All available columns of all sources in this scope
\n"}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_source_columns", "kind": "function", "doc": "Resolve the source columns for a given source name
Rewrite sqlglot AST to have fully qualified tables.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT 1 FROM tbl")\n>>> qualify_tables(expression, db="db").sql()\n'SELECT 1 FROM db.tbl AS tbl'\n
\n\n", "signature": "(expression, db=None, catalog=None, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.scope": {"fullname": "sqlglot.optimizer.scope", "modulename": "sqlglot.optimizer.scope", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.scope.ScopeType": {"fullname": "sqlglot.optimizer.scope.ScopeType", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType", "kind": "class", "doc": "sqlglot.Expression: qualified expression
\n
An enumeration.
\n", "bases": "enum.Enum"}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"fullname": "sqlglot.optimizer.scope.ScopeType.ROOT", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.ROOT", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.ROOT: 1>"}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"fullname": "sqlglot.optimizer.scope.ScopeType.SUBQUERY", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.SUBQUERY", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.SUBQUERY: 2>"}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"fullname": "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.DERIVED_TABLE", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.DERIVED_TABLE: 3>"}, "sqlglot.optimizer.scope.ScopeType.CTE": {"fullname": "sqlglot.optimizer.scope.ScopeType.CTE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.CTE", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.CTE: 4>"}, "sqlglot.optimizer.scope.ScopeType.UNION": {"fullname": "sqlglot.optimizer.scope.ScopeType.UNION", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UNION", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.UNION: 5>"}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"fullname": "sqlglot.optimizer.scope.ScopeType.UDTF", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UDTF", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.UDTF: 6>"}, "sqlglot.optimizer.scope.Scope": {"fullname": "sqlglot.optimizer.scope.Scope", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope", "kind": "class", "doc": "Selection scope.
\n\n[\"col1\", \"col2\"]
for its outer_column_list
Branch from the current scope to a new, inner scope
\n", "signature": "(self, expression, scope_type, chain_sources=None, **kwargs):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.walk": {"fullname": "sqlglot.optimizer.scope.Scope.walk", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.walk", "kind": "function", "doc": "\n", "signature": "(self, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find": {"fullname": "sqlglot.optimizer.scope.Scope.find", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find", "kind": "function", "doc": "Returns the first node in this scope which matches at least one of the specified types.
\n\nThis does NOT traverse into subscopes.
\n\n\n\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find_all": {"fullname": "sqlglot.optimizer.scope.Scope.find_all", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find_all", "kind": "function", "doc": "exp.Expression: the node which matches the criteria or None if no node matching\n the criteria was found.
\n
Returns a generator object which visits all nodes in this scope and only yields those that\nmatch at least one of the specified expression types.
\n\nThis does NOT traverse into subscopes.
\n\n\n\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.replace": {"fullname": "sqlglot.optimizer.scope.Scope.replace", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.replace", "kind": "function", "doc": "exp.Expression: nodes
\n
Replace old
with new
.
This can be used instead of exp.Expression.replace
to ensure the Scope
is kept up-to-date.
List of tables in this scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.ctes": {"fullname": "sqlglot.optimizer.scope.Scope.ctes", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ctes", "kind": "variable", "doc": "list[exp.Table]: tables
\n
List of CTEs in this scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.derived_tables": {"fullname": "sqlglot.optimizer.scope.Scope.derived_tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.derived_tables", "kind": "variable", "doc": "list[exp.CTE]: ctes
\n
List of derived tables in this scope.
\n\n\n\n\nSELECT * FROM (SELECT ...) <- that's a derived table
\n
\n\n"}, "sqlglot.optimizer.scope.Scope.udtfs": {"fullname": "sqlglot.optimizer.scope.Scope.udtfs", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.udtfs", "kind": "variable", "doc": "list[exp.Subquery]: derived tables
\n
List of \"User Defined Tabular Functions\" in this scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.subqueries": {"fullname": "sqlglot.optimizer.scope.Scope.subqueries", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.subqueries", "kind": "variable", "doc": "list[exp.UDTF]: UDTFs
\n
List of subqueries in this scope.
\n\n\n\n\nSELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery
\n
\n\n"}, "sqlglot.optimizer.scope.Scope.columns": {"fullname": "sqlglot.optimizer.scope.Scope.columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.columns", "kind": "variable", "doc": "list[exp.Subqueryable]: subqueries
\n
List of columns in this scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.selected_sources": {"fullname": "sqlglot.optimizer.scope.Scope.selected_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selected_sources", "kind": "variable", "doc": "list[exp.Column]: Column instances in this scope, plus any\n Columns that reference this scope from correlated subqueries.
\n
Mapping of nodes and sources that are actually selected from in this scope.
\n\nThat is, all tables in a schema are selectable at any point. But a\ntable only becomes a selected source if it's included in a FROM or JOIN clause.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.cte_sources": {"fullname": "sqlglot.optimizer.scope.Scope.cte_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.cte_sources", "kind": "variable", "doc": "dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes
\n
Sources that are CTEs.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.selects": {"fullname": "sqlglot.optimizer.scope.Scope.selects", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selects", "kind": "variable", "doc": "dict[str, Scope]: Mapping of source alias to Scope
\n
Select expressions of this scope.
\n\nFor example, for the following expression:\n SELECT 1 as a, 2 as b FROM x
\n\nThe outputs are the \"1 as a\" and \"2 as b\" expressions.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.external_columns": {"fullname": "sqlglot.optimizer.scope.Scope.external_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.external_columns", "kind": "variable", "doc": "list[exp.Expression]: expressions
\n
Columns that appear to reference sources in outer scopes.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"fullname": "sqlglot.optimizer.scope.Scope.unqualified_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.unqualified_columns", "kind": "variable", "doc": "list[exp.Column]: Column instances that don't reference\n sources in the current scope.
\n
Unqualified columns in the current scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.join_hints": {"fullname": "sqlglot.optimizer.scope.Scope.join_hints", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.join_hints", "kind": "variable", "doc": "list[exp.Column]: Unqualified columns
\n
Hints that exist in the scope that reference tables
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.source_columns": {"fullname": "sqlglot.optimizer.scope.Scope.source_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.source_columns", "kind": "function", "doc": "list[exp.JoinHint]: Join hints that are referenced within the scope
\n
Get all columns in the current scope for a particular source.
\n\n\n\n", "signature": "(self, source_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.is_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_subquery", "kind": "variable", "doc": "list[exp.Column]: Column instances that reference
\nsource_name
Determine if this scope is a subquery
\n"}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"fullname": "sqlglot.optimizer.scope.Scope.is_derived_table", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_derived_table", "kind": "variable", "doc": "Determine if this scope is a derived table
\n"}, "sqlglot.optimizer.scope.Scope.is_union": {"fullname": "sqlglot.optimizer.scope.Scope.is_union", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_union", "kind": "variable", "doc": "Determine if this scope is a union
\n"}, "sqlglot.optimizer.scope.Scope.is_cte": {"fullname": "sqlglot.optimizer.scope.Scope.is_cte", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_cte", "kind": "variable", "doc": "Determine if this scope is a common table expression
\n"}, "sqlglot.optimizer.scope.Scope.is_root": {"fullname": "sqlglot.optimizer.scope.Scope.is_root", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_root", "kind": "variable", "doc": "Determine if this is the root scope
\n"}, "sqlglot.optimizer.scope.Scope.is_udtf": {"fullname": "sqlglot.optimizer.scope.Scope.is_udtf", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_udtf", "kind": "variable", "doc": "Determine if this scope is a UDTF (User Defined Table Function)
\n"}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_correlated_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_correlated_subquery", "kind": "variable", "doc": "Determine if this scope is a correlated subquery
\n"}, "sqlglot.optimizer.scope.Scope.rename_source": {"fullname": "sqlglot.optimizer.scope.Scope.rename_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.rename_source", "kind": "function", "doc": "Rename a source in this scope
\n", "signature": "(self, old_name, new_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.add_source": {"fullname": "sqlglot.optimizer.scope.Scope.add_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.add_source", "kind": "function", "doc": "Add a source to this scope
\n", "signature": "(self, name, source):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.remove_source": {"fullname": "sqlglot.optimizer.scope.Scope.remove_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.remove_source", "kind": "function", "doc": "Remove a source from this scope
\n", "signature": "(self, name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.traverse": {"fullname": "sqlglot.optimizer.scope.Scope.traverse", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.traverse", "kind": "function", "doc": "Traverse the scope tree from this node.
\n\n\n\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.ref_count": {"fullname": "sqlglot.optimizer.scope.Scope.ref_count", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ref_count", "kind": "function", "doc": "Scope: scope instances in depth-first-search post-order
\n
Count the number of times each scope in this tree is referenced.
\n\n\n\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.traverse_scope": {"fullname": "sqlglot.optimizer.scope.traverse_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "traverse_scope", "kind": "function", "doc": "dict[int, int]: Mapping of Scope instance ID to reference count
\n
Traverse an expression by it's \"scopes\".
\n\n\"Scope\" represents the current context of a Select statement.
\n\nThis is helpful for optimizing queries, where we need more information than\nthe expression tree itself. For example, we might care about the source\nnames within a subquery. Returns a list because a generator could result in\nincomplete properties which is confusing.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")\n>>> scopes = traverse_scope(expression)\n>>> scopes[0].expression.sql(), list(scopes[0].sources)\n('SELECT a FROM x', ['x'])\n>>> scopes[1].expression.sql(), list(scopes[1].sources)\n('SELECT a FROM (SELECT a FROM x) AS y', ['y'])\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.build_scope": {"fullname": "sqlglot.optimizer.scope.build_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "build_scope", "kind": "function", "doc": "list[Scope]: scope instances
\n
Build a scope tree.
\n\n\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.walk_in_scope": {"fullname": "sqlglot.optimizer.scope.walk_in_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "walk_in_scope", "kind": "function", "doc": "Scope: root scope
\n
Returns a generator object which visits all nodes in the syntrax tree, stopping at\nnodes that start child scopes.
\n\n\n\n", "signature": "(expression, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify": {"fullname": "sqlglot.optimizer.simplify", "modulename": "sqlglot.optimizer.simplify", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.simplify.simplify": {"fullname": "sqlglot.optimizer.simplify.simplify", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify", "kind": "function", "doc": "tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key
\n
Rewrite sqlglot AST to simplify expressions.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.rewrite_between": {"fullname": "sqlglot.optimizer.simplify.rewrite_between", "modulename": "sqlglot.optimizer.simplify", "qualname": "rewrite_between", "kind": "function", "doc": "sqlglot.Expression: simplified expression
\n
Rewrite x between y and z to x >= y AND x <= z.
\n\nThis is done because comparison simplification is only done on lt/lte/gt/gte.
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_not": {"fullname": "sqlglot.optimizer.simplify.simplify_not", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_not", "kind": "function", "doc": "Demorgan's Law\nNOT (x OR y) -> NOT x AND NOT y\nNOT (x AND y) -> NOT x OR NOT y
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.flatten": {"fullname": "sqlglot.optimizer.simplify.flatten", "modulename": "sqlglot.optimizer.simplify", "qualname": "flatten", "kind": "function", "doc": "A AND (B AND C) -> A AND B AND C\nA OR (B OR C) -> A OR B OR C
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_connectors": {"fullname": "sqlglot.optimizer.simplify.simplify_connectors", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_connectors", "kind": "function", "doc": "\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_compliments": {"fullname": "sqlglot.optimizer.simplify.remove_compliments", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_compliments", "kind": "function", "doc": "Removing compliments.
\n\nA AND NOT A -> FALSE\nA OR NOT A -> TRUE
\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.uniq_sort": {"fullname": "sqlglot.optimizer.simplify.uniq_sort", "modulename": "sqlglot.optimizer.simplify", "qualname": "uniq_sort", "kind": "function", "doc": "Uniq and sort a connector.
\n\nC AND A AND B AND B -> A AND B AND C
\n", "signature": "(expression, cache=None, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"fullname": "sqlglot.optimizer.simplify.absorb_and_eliminate", "modulename": "sqlglot.optimizer.simplify", "qualname": "absorb_and_eliminate", "kind": "function", "doc": "absorption:\n A AND (A OR B) -> A\n A OR (A AND B) -> A\n A AND (NOT A OR B) -> A AND B\n A OR (NOT A AND B) -> A OR B\nelimination:\n (A AND B) OR (A AND NOT B) -> A\n (A OR B) AND (A OR NOT B) -> A
\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_literals": {"fullname": "sqlglot.optimizer.simplify.simplify_literals", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_literals", "kind": "function", "doc": "\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_parens": {"fullname": "sqlglot.optimizer.simplify.simplify_parens", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_parens", "kind": "function", "doc": "\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_where_true": {"fullname": "sqlglot.optimizer.simplify.remove_where_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_where_true", "kind": "function", "doc": "\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.always_true": {"fullname": "sqlglot.optimizer.simplify.always_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "always_true", "kind": "function", "doc": "\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_complement": {"fullname": "sqlglot.optimizer.simplify.is_complement", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_complement", "kind": "function", "doc": "\n", "signature": "(a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_false": {"fullname": "sqlglot.optimizer.simplify.is_false", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_false", "kind": "function", "doc": "\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_null": {"fullname": "sqlglot.optimizer.simplify.is_null", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_null", "kind": "function", "doc": "\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.eval_boolean": {"fullname": "sqlglot.optimizer.simplify.eval_boolean", "modulename": "sqlglot.optimizer.simplify", "qualname": "eval_boolean", "kind": "function", "doc": "\n", "signature": "(expression, a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_date": {"fullname": "sqlglot.optimizer.simplify.extract_date", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_date", "kind": "function", "doc": "\n", "signature": "(cast):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_interval": {"fullname": "sqlglot.optimizer.simplify.extract_interval", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_interval", "kind": "function", "doc": "\n", "signature": "(interval):", "funcdef": "def"}, "sqlglot.optimizer.simplify.date_literal": {"fullname": "sqlglot.optimizer.simplify.date_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "date_literal", "kind": "function", "doc": "\n", "signature": "(date):", "funcdef": "def"}, "sqlglot.optimizer.simplify.boolean_literal": {"fullname": "sqlglot.optimizer.simplify.boolean_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "boolean_literal", "kind": "function", "doc": "\n", "signature": "(condition):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest_subqueries", "kind": "function", "doc": "Rewrite sqlglot AST to convert some predicates with subqueries into joins.
\n\nConvert scalar subqueries into cross joins.\nConvert correlated or vectorized subqueries into a group by so it is not a many to many left join.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT * FROM x AS x WHERE (SELECT y.a AS a FROM y AS y WHERE x.a = y.a) = 1 ")\n>>> unnest_subqueries(expression).sql()\n'SELECT * FROM x AS x LEFT JOIN (SELECT y.a AS a FROM y AS y WHERE TRUE GROUP BY y.a) AS _u_0 ON x.a = _u_0.a WHERE _u_0.a = 1'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.unnest": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest", "kind": "function", "doc": "\n", "signature": "(select, parent_select, sequence):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"fullname": "sqlglot.optimizer.unnest_subqueries.decorrelate", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "decorrelate", "kind": "function", "doc": "\n", "signature": "(select, parent_select, external_columns, sequence):", "funcdef": "def"}, "sqlglot.parser": {"fullname": "sqlglot.parser", "modulename": "sqlglot.parser", "kind": "module", "doc": "\n"}, "sqlglot.parser.parse_var_map": {"fullname": "sqlglot.parser.parse_var_map", "modulename": "sqlglot.parser", "qualname": "parse_var_map", "kind": "function", "doc": "\n", "signature": "(args: Sequence) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.parser.parse_like": {"fullname": "sqlglot.parser.parse_like", "modulename": "sqlglot.parser", "qualname": "parse_like", "kind": "function", "doc": "\n", "signature": "(args):", "funcdef": "def"}, "sqlglot.parser.binary_range_parser": {"fullname": "sqlglot.parser.binary_range_parser", "modulename": "sqlglot.parser", "qualname": "binary_range_parser", "kind": "function", "doc": "\n", "signature": "(\texpr_type: Type[sqlglot.expressions.Expression]) -> Callable[[sqlglot.parser.Parser, Optional[sqlglot.expressions.Expression]], Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser": {"fullname": "sqlglot.parser.Parser", "modulename": "sqlglot.parser", "qualname": "Parser", "kind": "class", "doc": "sqlglot.Expression: unnested expression
\n
Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Parses a list of tokens and returns a list of syntax trees, one tree\nper parsed SQL statement.
\n\n\n\n", "signature": "(\tself,\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.parse_into": {"fullname": "sqlglot.parser.Parser.parse_into", "modulename": "sqlglot.parser", "qualname": "Parser.parse_into", "kind": "function", "doc": "The list of syntax trees.
\n
Parses a list of tokens into a given Expression type. If a collection of Expression\ntypes is given instead, this method will try to parse the token list into each one\nof them, stopping at the first for which the parsing succeeds.
\n\n\n\n", "signature": "(\tself,\texpression_types: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.check_errors": {"fullname": "sqlglot.parser.Parser.check_errors", "modulename": "sqlglot.parser", "qualname": "Parser.check_errors", "kind": "function", "doc": "The target Expression.
\n
Logs or raises any found errors, depending on the chosen error level setting.
\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.raise_error": {"fullname": "sqlglot.parser.Parser.raise_error", "modulename": "sqlglot.parser", "qualname": "Parser.raise_error", "kind": "function", "doc": "Appends an error in the list of recorded errors or raises it, depending on the chosen\nerror level setting.
\n", "signature": "(self, message: str, token: Optional[sqlglot.tokens.Token] = None) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.expression": {"fullname": "sqlglot.parser.Parser.expression", "modulename": "sqlglot.parser", "qualname": "Parser.expression", "kind": "function", "doc": "Creates a new, validated Expression.
\n\n\n\n", "signature": "(\tself,\texp_class: Type[~E],\tcomments: Optional[List[str]] = None,\t**kwargs) -> ~E:", "funcdef": "def"}, "sqlglot.parser.Parser.validate_expression": {"fullname": "sqlglot.parser.Parser.validate_expression", "modulename": "sqlglot.parser", "qualname": "Parser.validate_expression", "kind": "function", "doc": "The target expression.
\n
Validates an already instantiated expression, making sure that all its mandatory arguments\nare set.
\n\nBuilds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:
\n\nSELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a
\n\nthe following DAG is produced (the expression IDs might differ per execution):
\n\n\n\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Step.add_dependency": {"fullname": "sqlglot.planner.Step.add_dependency", "modulename": "sqlglot.planner", "qualname": "Step.add_dependency", "kind": "function", "doc": "\n", "signature": "(self, dependency: sqlglot.planner.Step) -> None:", "funcdef": "def"}, "sqlglot.planner.Step.to_s": {"fullname": "sqlglot.planner.Step.to_s", "modulename": "sqlglot.planner", "qualname": "Step.to_s", "kind": "function", "doc": "\n", "signature": "(self, level: int = 0) -> str:", "funcdef": "def"}, "sqlglot.planner.Scan": {"fullname": "sqlglot.planner.Scan", "modulename": "sqlglot.planner", "qualname": "Scan", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.Scan.from_expression": {"fullname": "sqlglot.planner.Scan.from_expression", "modulename": "sqlglot.planner", "qualname": "Scan.from_expression", "kind": "function", "doc": "A Step DAG corresponding to
\nexpression
.
Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:
\n\nSELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a
\n\nthe following DAG is produced (the expression IDs might differ per execution):
\n\n\n\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Join": {"fullname": "sqlglot.planner.Join", "modulename": "sqlglot.planner", "qualname": "Join", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.Join.from_joins": {"fullname": "sqlglot.planner.Join.from_joins", "modulename": "sqlglot.planner", "qualname": "Join.from_joins", "kind": "function", "doc": "\n", "signature": "(\tcls,\tjoins: Iterable[sqlglot.expressions.Join],\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Aggregate": {"fullname": "sqlglot.planner.Aggregate", "modulename": "sqlglot.planner", "qualname": "Aggregate", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.Sort": {"fullname": "sqlglot.planner.Sort", "modulename": "sqlglot.planner", "qualname": "Sort", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.SetOperation": {"fullname": "sqlglot.planner.SetOperation", "modulename": "sqlglot.planner", "qualname": "SetOperation", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.SetOperation.__init__": {"fullname": "sqlglot.planner.SetOperation.__init__", "modulename": "sqlglot.planner", "qualname": "SetOperation.__init__", "kind": "function", "doc": "\n", "signature": "(\top: Type[sqlglot.expressions.Expression],\tleft: str | None,\tright: str | None,\tdistinct: bool = False)"}, "sqlglot.planner.SetOperation.from_expression": {"fullname": "sqlglot.planner.SetOperation.from_expression", "modulename": "sqlglot.planner", "qualname": "SetOperation.from_expression", "kind": "function", "doc": "A Step DAG corresponding to
\nexpression
.
Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:
\n\nSELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a
\n\nthe following DAG is produced (the expression IDs might differ per execution):
\n\n\n\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.schema.Schema": {"fullname": "sqlglot.schema.Schema", "modulename": "sqlglot.schema", "qualname": "Schema", "kind": "class", "doc": "A Step DAG corresponding to
\nexpression
.
Abstract base class for database schemas
\n", "bases": "abc.ABC"}, "sqlglot.schema.Schema.add_table": {"fullname": "sqlglot.schema.Schema.add_table", "modulename": "sqlglot.schema", "qualname": "Schema.add_table", "kind": "function", "doc": "Register or update a table. Some implementing classes may require column information to also be provided.
\n\nGet the column names for a table.
\n\nTable
expression instance.\n\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.Schema.get_column_type": {"fullname": "sqlglot.schema.Schema.get_column_type", "modulename": "sqlglot.schema", "qualname": "Schema.get_column_type", "kind": "function", "doc": "The list of column names.
\n
Get the sqlglot.exp.DataType
type of a column in the schema.
\n\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.Schema.supported_table_args": {"fullname": "sqlglot.schema.Schema.supported_table_args", "modulename": "sqlglot.schema", "qualname": "Schema.supported_table_args", "kind": "variable", "doc": "The resulting column type.
\n
Table arguments this schema support, e.g. (\"this\", \"db\", \"catalog\")
Abstract base class for generic types.
\n\nA generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::
\n\nclass Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.
\n\nThis class can then be used as follows::
\n\ndef lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default
\n", "bases": "typing.Generic[~T]"}, "sqlglot.schema.AbstractMappingSchema.__init__": {"fullname": "sqlglot.schema.AbstractMappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.__init__", "kind": "function", "doc": "\n", "signature": "(mapping: dict | None = None)"}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"fullname": "sqlglot.schema.AbstractMappingSchema.table_parts", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.table_parts", "kind": "function", "doc": "\n", "signature": "(self, table: sqlglot.expressions.Table) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.find": {"fullname": "sqlglot.schema.AbstractMappingSchema.find", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.find", "kind": "function", "doc": "\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table,\ttrie: Optional[Dict] = None,\traise_on_missing: bool = True) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema": {"fullname": "sqlglot.schema.MappingSchema", "modulename": "sqlglot.schema", "qualname": "MappingSchema", "kind": "class", "doc": "Schema based on a nested mapping.
\n\nRegister or update a table. Updates are only performed if a new column mapping is provided.
\n\nTable
expression instance or string representing the table.Get the column names for a table.
\n\nTable
expression instance.\n\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.get_column_type": {"fullname": "sqlglot.schema.MappingSchema.get_column_type", "modulename": "sqlglot.schema", "qualname": "MappingSchema.get_column_type", "kind": "function", "doc": "The list of column names.
\n
Get the sqlglot.exp.DataType
type of a column in the schema.
\n\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column | str) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.ensure_schema": {"fullname": "sqlglot.schema.ensure_schema", "modulename": "sqlglot.schema", "qualname": "ensure_schema", "kind": "function", "doc": "\n", "signature": "(\tschema: Any,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.schema.Schema:", "funcdef": "def"}, "sqlglot.schema.ensure_column_mapping": {"fullname": "sqlglot.schema.ensure_column_mapping", "modulename": "sqlglot.schema", "qualname": "ensure_column_mapping", "kind": "function", "doc": "\n", "signature": "(\tmapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType]) -> Dict:", "funcdef": "def"}, "sqlglot.schema.flatten_schema": {"fullname": "sqlglot.schema.flatten_schema", "modulename": "sqlglot.schema", "qualname": "flatten_schema", "kind": "function", "doc": "\n", "signature": "(\tschema: Dict,\tdepth: int,\tkeys: Optional[List[str]] = None) -> List[List[str]]:", "funcdef": "def"}, "sqlglot.serde": {"fullname": "sqlglot.serde", "modulename": "sqlglot.serde", "kind": "module", "doc": "\n"}, "sqlglot.serde.dump": {"fullname": "sqlglot.serde.dump", "modulename": "sqlglot.serde", "qualname": "dump", "kind": "function", "doc": "The resulting column type.
\n
Recursively dump an AST into a JSON-serializable dict.
\n", "signature": "(\tnode: Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]) -> Union[dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.serde.load": {"fullname": "sqlglot.serde.load", "modulename": "sqlglot.serde", "qualname": "load", "kind": "function", "doc": "Recursively load a dict (as returned by dump
) into an AST.
Converts a time string given a mapping.
\n\n\n\n", "signature": "(\tstring: str,\tmapping: Dict[str, str],\ttrie: Optional[Dict] = None) -> Optional[str]:", "funcdef": "def"}, "sqlglot.tokens": {"fullname": "sqlglot.tokens", "modulename": "sqlglot.tokens", "kind": "module", "doc": "\n"}, "sqlglot.tokens.TokenType": {"fullname": "sqlglot.tokens.TokenType", "modulename": "sqlglot.tokens", "qualname": "TokenType", "kind": "class", "doc": "\n\n \n\n>>> format_time("%Y", {"%Y": "YYYY"})\n'YYYY'\n
Args:\n mapping: dictionary of time format to target time format.\n trie: optional trie, can be passed in for performance.
\n \nReturns:\n The converted time string.
\n
An enumeration.
\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.tokens.TokenType.L_PAREN": {"fullname": "sqlglot.tokens.TokenType.L_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_PAREN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.L_PAREN: 'L_PAREN'>"}, "sqlglot.tokens.TokenType.R_PAREN": {"fullname": "sqlglot.tokens.TokenType.R_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_PAREN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.R_PAREN: 'R_PAREN'>"}, "sqlglot.tokens.TokenType.L_BRACKET": {"fullname": "sqlglot.tokens.TokenType.L_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACKET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.L_BRACKET: 'L_BRACKET'>"}, "sqlglot.tokens.TokenType.R_BRACKET": {"fullname": "sqlglot.tokens.TokenType.R_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACKET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.R_BRACKET: 'R_BRACKET'>"}, "sqlglot.tokens.TokenType.L_BRACE": {"fullname": "sqlglot.tokens.TokenType.L_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.L_BRACE: 'L_BRACE'>"}, "sqlglot.tokens.TokenType.R_BRACE": {"fullname": "sqlglot.tokens.TokenType.R_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.R_BRACE: 'R_BRACE'>"}, "sqlglot.tokens.TokenType.COMMA": {"fullname": "sqlglot.tokens.TokenType.COMMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMA", "kind": "variable", "doc": "\n", "default_value": "<TokenType.COMMA: 'COMMA'>"}, "sqlglot.tokens.TokenType.DOT": {"fullname": "sqlglot.tokens.TokenType.DOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DOT: 'DOT'>"}, "sqlglot.tokens.TokenType.DASH": {"fullname": "sqlglot.tokens.TokenType.DASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.DASH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DASH: 'DASH'>"}, "sqlglot.tokens.TokenType.PLUS": {"fullname": "sqlglot.tokens.TokenType.PLUS", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLUS", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PLUS: 'PLUS'>"}, "sqlglot.tokens.TokenType.COLON": {"fullname": "sqlglot.tokens.TokenType.COLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLON", "kind": "variable", "doc": "\n", "default_value": "<TokenType.COLON: 'COLON'>"}, "sqlglot.tokens.TokenType.DCOLON": {"fullname": "sqlglot.tokens.TokenType.DCOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.DCOLON", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DCOLON: 'DCOLON'>"}, "sqlglot.tokens.TokenType.SEMICOLON": {"fullname": "sqlglot.tokens.TokenType.SEMICOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMICOLON", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SEMICOLON: 'SEMICOLON'>"}, "sqlglot.tokens.TokenType.STAR": {"fullname": "sqlglot.tokens.TokenType.STAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.STAR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.STAR: 'STAR'>"}, "sqlglot.tokens.TokenType.BACKSLASH": {"fullname": "sqlglot.tokens.TokenType.BACKSLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BACKSLASH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BACKSLASH: 'BACKSLASH'>"}, "sqlglot.tokens.TokenType.SLASH": {"fullname": "sqlglot.tokens.TokenType.SLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.SLASH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SLASH: 'SLASH'>"}, "sqlglot.tokens.TokenType.LT": {"fullname": "sqlglot.tokens.TokenType.LT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.LT: 'LT'>"}, "sqlglot.tokens.TokenType.LTE": {"fullname": "sqlglot.tokens.TokenType.LTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LTE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.LTE: 'LTE'>"}, "sqlglot.tokens.TokenType.GT": {"fullname": "sqlglot.tokens.TokenType.GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.GT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.GT: 'GT'>"}, "sqlglot.tokens.TokenType.GTE": {"fullname": "sqlglot.tokens.TokenType.GTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.GTE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.GTE: 'GTE'>"}, "sqlglot.tokens.TokenType.NOT": {"fullname": "sqlglot.tokens.TokenType.NOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NOT: 'NOT'>"}, "sqlglot.tokens.TokenType.EQ": {"fullname": "sqlglot.tokens.TokenType.EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.EQ", "kind": "variable", "doc": "\n", "default_value": "<TokenType.EQ: 'EQ'>"}, "sqlglot.tokens.TokenType.NEQ": {"fullname": "sqlglot.tokens.TokenType.NEQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEQ", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NEQ: 'NEQ'>"}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"fullname": "sqlglot.tokens.TokenType.NULLSAFE_EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLSAFE_EQ", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>"}, "sqlglot.tokens.TokenType.AND": {"fullname": "sqlglot.tokens.TokenType.AND", "modulename": "sqlglot.tokens", "qualname": "TokenType.AND", "kind": "variable", "doc": "\n", "default_value": "<TokenType.AND: 'AND'>"}, "sqlglot.tokens.TokenType.OR": {"fullname": "sqlglot.tokens.TokenType.OR", "modulename": "sqlglot.tokens", "qualname": "TokenType.OR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OR: 'OR'>"}, "sqlglot.tokens.TokenType.AMP": {"fullname": "sqlglot.tokens.TokenType.AMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.AMP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.AMP: 'AMP'>"}, "sqlglot.tokens.TokenType.DPIPE": {"fullname": "sqlglot.tokens.TokenType.DPIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DPIPE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DPIPE: 'DPIPE'>"}, "sqlglot.tokens.TokenType.PIPE": {"fullname": "sqlglot.tokens.TokenType.PIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIPE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PIPE: 'PIPE'>"}, "sqlglot.tokens.TokenType.CARET": {"fullname": "sqlglot.tokens.TokenType.CARET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CARET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.CARET: 'CARET'>"}, "sqlglot.tokens.TokenType.TILDA": {"fullname": "sqlglot.tokens.TokenType.TILDA", "modulename": "sqlglot.tokens", "qualname": "TokenType.TILDA", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TILDA: 'TILDA'>"}, "sqlglot.tokens.TokenType.ARROW": {"fullname": "sqlglot.tokens.TokenType.ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ARROW: 'ARROW'>"}, "sqlglot.tokens.TokenType.DARROW": {"fullname": "sqlglot.tokens.TokenType.DARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DARROW: 'DARROW'>"}, "sqlglot.tokens.TokenType.FARROW": {"fullname": "sqlglot.tokens.TokenType.FARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.FARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.FARROW: 'FARROW'>"}, "sqlglot.tokens.TokenType.HASH": {"fullname": "sqlglot.tokens.TokenType.HASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.HASH: 'HASH'>"}, "sqlglot.tokens.TokenType.HASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.HASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH_ARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.HASH_ARROW: 'HASH_ARROW'>"}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.DHASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DHASH_ARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DHASH_ARROW: 'DHASH_ARROW'>"}, "sqlglot.tokens.TokenType.LR_ARROW": {"fullname": "sqlglot.tokens.TokenType.LR_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.LR_ARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.LR_ARROW: 'LR_ARROW'>"}, "sqlglot.tokens.TokenType.LT_AT": {"fullname": "sqlglot.tokens.TokenType.LT_AT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT_AT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.LT_AT: 'LT_AT'>"}, "sqlglot.tokens.TokenType.AT_GT": {"fullname": "sqlglot.tokens.TokenType.AT_GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AT_GT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.AT_GT: 'AT_GT'>"}, "sqlglot.tokens.TokenType.DOLLAR": {"fullname": "sqlglot.tokens.TokenType.DOLLAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOLLAR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DOLLAR: 'DOLLAR'>"}, "sqlglot.tokens.TokenType.PARAMETER": {"fullname": "sqlglot.tokens.TokenType.PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARAMETER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PARAMETER: 'PARAMETER'>"}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"fullname": "sqlglot.tokens.TokenType.SESSION_PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SESSION_PARAMETER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SESSION_PARAMETER: 'SESSION_PARAMETER'>"}, "sqlglot.tokens.TokenType.NATIONAL": {"fullname": "sqlglot.tokens.TokenType.NATIONAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATIONAL", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NATIONAL: 'NATIONAL'>"}, "sqlglot.tokens.TokenType.DAMP": {"fullname": "sqlglot.tokens.TokenType.DAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DAMP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DAMP: 'DAMP'>"}, "sqlglot.tokens.TokenType.BLOCK_START": {"fullname": "sqlglot.tokens.TokenType.BLOCK_START", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_START", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BLOCK_START: 'BLOCK_START'>"}, "sqlglot.tokens.TokenType.BLOCK_END": {"fullname": "sqlglot.tokens.TokenType.BLOCK_END", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_END", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BLOCK_END: 'BLOCK_END'>"}, "sqlglot.tokens.TokenType.SPACE": 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'NATURAL'>"}, "sqlglot.tokens.TokenType.NEXT": {"fullname": "sqlglot.tokens.TokenType.NEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEXT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NEXT: 'NEXT'>"}, "sqlglot.tokens.TokenType.NO_ACTION": {"fullname": "sqlglot.tokens.TokenType.NO_ACTION", "modulename": "sqlglot.tokens", "qualname": "TokenType.NO_ACTION", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NO_ACTION: 'NO_ACTION'>"}, "sqlglot.tokens.TokenType.NOTNULL": {"fullname": "sqlglot.tokens.TokenType.NOTNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOTNULL", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NOTNULL: 'NOTNULL'>"}, "sqlglot.tokens.TokenType.NULL": {"fullname": "sqlglot.tokens.TokenType.NULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULL", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NULL: 'NULL'>"}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"fullname": "sqlglot.tokens.TokenType.NULLS_FIRST", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLS_FIRST", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NULLS_FIRST: 'NULLS_FIRST'>"}, "sqlglot.tokens.TokenType.NULLS_LAST": {"fullname": "sqlglot.tokens.TokenType.NULLS_LAST", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLS_LAST", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NULLS_LAST: 'NULLS_LAST'>"}, "sqlglot.tokens.TokenType.OFFSET": {"fullname": "sqlglot.tokens.TokenType.OFFSET", "modulename": "sqlglot.tokens", "qualname": "TokenType.OFFSET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OFFSET: 'OFFSET'>"}, "sqlglot.tokens.TokenType.ON": {"fullname": "sqlglot.tokens.TokenType.ON", "modulename": "sqlglot.tokens", "qualname": "TokenType.ON", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ON: 'ON'>"}, "sqlglot.tokens.TokenType.ONLY": {"fullname": "sqlglot.tokens.TokenType.ONLY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ONLY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ONLY: 'ONLY'>"}, "sqlglot.tokens.TokenType.OPTIONS": {"fullname": "sqlglot.tokens.TokenType.OPTIONS", "modulename": "sqlglot.tokens", "qualname": "TokenType.OPTIONS", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OPTIONS: 'OPTIONS'>"}, "sqlglot.tokens.TokenType.ORDER_BY": {"fullname": "sqlglot.tokens.TokenType.ORDER_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDER_BY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ORDER_BY: 'ORDER_BY'>"}, "sqlglot.tokens.TokenType.ORDERED": {"fullname": "sqlglot.tokens.TokenType.ORDERED", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDERED", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ORDERED: 'ORDERED'>"}, "sqlglot.tokens.TokenType.ORDINALITY": {"fullname": "sqlglot.tokens.TokenType.ORDINALITY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDINALITY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ORDINALITY: 'ORDINALITY'>"}, "sqlglot.tokens.TokenType.OUTER": {"fullname": "sqlglot.tokens.TokenType.OUTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OUTER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OUTER: 'OUTER'>"}, "sqlglot.tokens.TokenType.OUT_OF": {"fullname": "sqlglot.tokens.TokenType.OUT_OF", "modulename": "sqlglot.tokens", "qualname": "TokenType.OUT_OF", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OUT_OF: 'OUT_OF'>"}, "sqlglot.tokens.TokenType.OVER": {"fullname": "sqlglot.tokens.TokenType.OVER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OVER: 'OVER'>"}, "sqlglot.tokens.TokenType.OVERLAPS": {"fullname": "sqlglot.tokens.TokenType.OVERLAPS", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERLAPS", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OVERLAPS: 'OVERLAPS'>"}, "sqlglot.tokens.TokenType.OVERWRITE": {"fullname": "sqlglot.tokens.TokenType.OVERWRITE", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERWRITE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OVERWRITE: 'OVERWRITE'>"}, "sqlglot.tokens.TokenType.PARTITION": {"fullname": "sqlglot.tokens.TokenType.PARTITION", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PARTITION: 'PARTITION'>"}, "sqlglot.tokens.TokenType.PARTITION_BY": {"fullname": "sqlglot.tokens.TokenType.PARTITION_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION_BY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PARTITION_BY: 'PARTITION_BY'>"}, "sqlglot.tokens.TokenType.PERCENT": {"fullname": "sqlglot.tokens.TokenType.PERCENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PERCENT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PERCENT: 'PERCENT'>"}, "sqlglot.tokens.TokenType.PIVOT": {"fullname": "sqlglot.tokens.TokenType.PIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIVOT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PIVOT: 'PIVOT'>"}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"fullname": "sqlglot.tokens.TokenType.PLACEHOLDER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLACEHOLDER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PLACEHOLDER: 'PLACEHOLDER'>"}, "sqlglot.tokens.TokenType.PRAGMA": {"fullname": "sqlglot.tokens.TokenType.PRAGMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRAGMA", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PRAGMA: 'PRAGMA'>"}, "sqlglot.tokens.TokenType.PRECEDING": {"fullname": "sqlglot.tokens.TokenType.PRECEDING", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRECEDING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PRECEDING: 'PRECEDING'>"}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"fullname": "sqlglot.tokens.TokenType.PRIMARY_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRIMARY_KEY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>"}, "sqlglot.tokens.TokenType.PROCEDURE": {"fullname": "sqlglot.tokens.TokenType.PROCEDURE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROCEDURE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PROCEDURE: 'PROCEDURE'>"}, "sqlglot.tokens.TokenType.PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROPERTIES", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PROPERTIES: 'PROPERTIES'>"}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"fullname": "sqlglot.tokens.TokenType.PSEUDO_TYPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PSEUDO_TYPE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>"}, "sqlglot.tokens.TokenType.QUALIFY": {"fullname": "sqlglot.tokens.TokenType.QUALIFY", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUALIFY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.QUALIFY: 'QUALIFY'>"}, "sqlglot.tokens.TokenType.QUOTE": {"fullname": "sqlglot.tokens.TokenType.QUOTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUOTE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.QUOTE: 'QUOTE'>"}, "sqlglot.tokens.TokenType.RANGE": {"fullname": "sqlglot.tokens.TokenType.RANGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RANGE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RANGE: 'RANGE'>"}, "sqlglot.tokens.TokenType.RECURSIVE": {"fullname": "sqlglot.tokens.TokenType.RECURSIVE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RECURSIVE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RECURSIVE: 'RECURSIVE'>"}, "sqlglot.tokens.TokenType.REPLACE": {"fullname": "sqlglot.tokens.TokenType.REPLACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.REPLACE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.REPLACE: 'REPLACE'>"}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"fullname": "sqlglot.tokens.TokenType.RESPECT_NULLS", "modulename": "sqlglot.tokens", "qualname": "TokenType.RESPECT_NULLS", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RESPECT_NULLS: 'RESPECT_NULLS'>"}, "sqlglot.tokens.TokenType.RETURNING": {"fullname": "sqlglot.tokens.TokenType.RETURNING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RETURNING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RETURNING: 'RETURNING'>"}, "sqlglot.tokens.TokenType.REFERENCES": {"fullname": "sqlglot.tokens.TokenType.REFERENCES", "modulename": "sqlglot.tokens", "qualname": "TokenType.REFERENCES", "kind": "variable", "doc": "\n", "default_value": "<TokenType.REFERENCES: 'REFERENCES'>"}, "sqlglot.tokens.TokenType.RIGHT": {"fullname": "sqlglot.tokens.TokenType.RIGHT", "modulename": "sqlglot.tokens", "qualname": "TokenType.RIGHT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RIGHT: 'RIGHT'>"}, "sqlglot.tokens.TokenType.RLIKE": {"fullname": "sqlglot.tokens.TokenType.RLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RLIKE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RLIKE: 'RLIKE'>"}, "sqlglot.tokens.TokenType.ROLLBACK": {"fullname": "sqlglot.tokens.TokenType.ROLLBACK", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLBACK", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ROLLBACK: 'ROLLBACK'>"}, "sqlglot.tokens.TokenType.ROLLUP": {"fullname": "sqlglot.tokens.TokenType.ROLLUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLUP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ROLLUP: 'ROLLUP'>"}, "sqlglot.tokens.TokenType.ROW": {"fullname": "sqlglot.tokens.TokenType.ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ROW: 'ROW'>"}, "sqlglot.tokens.TokenType.ROWS": {"fullname": "sqlglot.tokens.TokenType.ROWS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWS", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ROWS: 'ROWS'>"}, "sqlglot.tokens.TokenType.SEED": {"fullname": "sqlglot.tokens.TokenType.SEED", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEED", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SEED: 'SEED'>"}, "sqlglot.tokens.TokenType.SELECT": {"fullname": "sqlglot.tokens.TokenType.SELECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SELECT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SELECT: 'SELECT'>"}, "sqlglot.tokens.TokenType.SEMI": {"fullname": "sqlglot.tokens.TokenType.SEMI", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMI", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SEMI: 'SEMI'>"}, "sqlglot.tokens.TokenType.SEPARATOR": {"fullname": "sqlglot.tokens.TokenType.SEPARATOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEPARATOR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SEPARATOR: 'SEPARATOR'>"}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.SERDE_PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERDE_PROPERTIES", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SERDE_PROPERTIES: 'SERDE_PROPERTIES'>"}, "sqlglot.tokens.TokenType.SET": {"fullname": "sqlglot.tokens.TokenType.SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.SET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SET: 'SET'>"}, "sqlglot.tokens.TokenType.SHOW": {"fullname": "sqlglot.tokens.TokenType.SHOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.SHOW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SHOW: 'SHOW'>"}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"fullname": "sqlglot.tokens.TokenType.SIMILAR_TO", "modulename": "sqlglot.tokens", "qualname": "TokenType.SIMILAR_TO", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SIMILAR_TO: 'SIMILAR_TO'>"}, "sqlglot.tokens.TokenType.SOME": {"fullname": "sqlglot.tokens.TokenType.SOME", "modulename": "sqlglot.tokens", "qualname": "TokenType.SOME", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SOME: 'SOME'>"}, "sqlglot.tokens.TokenType.SORTKEY": {"fullname": "sqlglot.tokens.TokenType.SORTKEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORTKEY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SORTKEY: 'SORTKEY'>"}, "sqlglot.tokens.TokenType.SORT_BY": {"fullname": "sqlglot.tokens.TokenType.SORT_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORT_BY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SORT_BY: 'SORT_BY'>"}, "sqlglot.tokens.TokenType.STRUCT": {"fullname": "sqlglot.tokens.TokenType.STRUCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRUCT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.STRUCT: 'STRUCT'>"}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"fullname": "sqlglot.tokens.TokenType.TABLE_SAMPLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE_SAMPLE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>"}, "sqlglot.tokens.TokenType.TEMPORARY": {"fullname": "sqlglot.tokens.TokenType.TEMPORARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEMPORARY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TEMPORARY: 'TEMPORARY'>"}, "sqlglot.tokens.TokenType.TOP": {"fullname": "sqlglot.tokens.TokenType.TOP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TOP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TOP: 'TOP'>"}, "sqlglot.tokens.TokenType.THEN": {"fullname": "sqlglot.tokens.TokenType.THEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.THEN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.THEN: 'THEN'>"}, "sqlglot.tokens.TokenType.TRAILING": {"fullname": "sqlglot.tokens.TokenType.TRAILING", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRAILING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TRAILING: 'TRAILING'>"}, "sqlglot.tokens.TokenType.TRUE": {"fullname": "sqlglot.tokens.TokenType.TRUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRUE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TRUE: 'TRUE'>"}, "sqlglot.tokens.TokenType.UNBOUNDED": {"fullname": "sqlglot.tokens.TokenType.UNBOUNDED", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNBOUNDED", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNBOUNDED: 'UNBOUNDED'>"}, "sqlglot.tokens.TokenType.UNCACHE": {"fullname": "sqlglot.tokens.TokenType.UNCACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNCACHE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNCACHE: 'UNCACHE'>"}, "sqlglot.tokens.TokenType.UNION": {"fullname": "sqlglot.tokens.TokenType.UNION", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNION", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNION: 'UNION'>"}, "sqlglot.tokens.TokenType.UNLOGGED": {"fullname": "sqlglot.tokens.TokenType.UNLOGGED", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNLOGGED", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNLOGGED: 'UNLOGGED'>"}, "sqlglot.tokens.TokenType.UNNEST": {"fullname": "sqlglot.tokens.TokenType.UNNEST", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNNEST", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNNEST: 'UNNEST'>"}, "sqlglot.tokens.TokenType.UNPIVOT": {"fullname": "sqlglot.tokens.TokenType.UNPIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNPIVOT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNPIVOT: 'UNPIVOT'>"}, "sqlglot.tokens.TokenType.UPDATE": {"fullname": "sqlglot.tokens.TokenType.UPDATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UPDATE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UPDATE: 'UPDATE'>"}, "sqlglot.tokens.TokenType.USE": {"fullname": "sqlglot.tokens.TokenType.USE", "modulename": "sqlglot.tokens", "qualname": "TokenType.USE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.USE: 'USE'>"}, "sqlglot.tokens.TokenType.USING": {"fullname": "sqlglot.tokens.TokenType.USING", "modulename": "sqlglot.tokens", "qualname": "TokenType.USING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.USING: 'USING'>"}, "sqlglot.tokens.TokenType.VALUES": {"fullname": "sqlglot.tokens.TokenType.VALUES", "modulename": "sqlglot.tokens", "qualname": "TokenType.VALUES", "kind": "variable", "doc": "\n", "default_value": "<TokenType.VALUES: 'VALUES'>"}, "sqlglot.tokens.TokenType.VIEW": {"fullname": "sqlglot.tokens.TokenType.VIEW", "modulename": "sqlglot.tokens", "qualname": "TokenType.VIEW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.VIEW: 'VIEW'>"}, "sqlglot.tokens.TokenType.VOLATILE": {"fullname": "sqlglot.tokens.TokenType.VOLATILE", "modulename": "sqlglot.tokens", "qualname": "TokenType.VOLATILE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.VOLATILE: 'VOLATILE'>"}, "sqlglot.tokens.TokenType.WHEN": {"fullname": "sqlglot.tokens.TokenType.WHEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHEN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WHEN: 'WHEN'>"}, "sqlglot.tokens.TokenType.WHERE": {"fullname": "sqlglot.tokens.TokenType.WHERE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHERE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WHERE: 'WHERE'>"}, "sqlglot.tokens.TokenType.WINDOW": {"fullname": "sqlglot.tokens.TokenType.WINDOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.WINDOW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WINDOW: 'WINDOW'>"}, "sqlglot.tokens.TokenType.WITH": {"fullname": "sqlglot.tokens.TokenType.WITH", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITH: 'WITH'>"}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITH_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH_TIME_ZONE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITH_TIME_ZONE: 'WITH_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH_LOCAL_TIME_ZONE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITH_LOCAL_TIME_ZONE: 'WITH_LOCAL_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"fullname": "sqlglot.tokens.TokenType.WITHIN_GROUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITHIN_GROUP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITHIN_GROUP: 'WITHIN_GROUP'>"}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITHOUT_TIME_ZONE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITHOUT_TIME_ZONE: 'WITHOUT_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.UNIQUE": {"fullname": "sqlglot.tokens.TokenType.UNIQUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNIQUE: 'UNIQUE'>"}, "sqlglot.tokens.Token": {"fullname": "sqlglot.tokens.Token", "modulename": "sqlglot.tokens", "qualname": "Token", "kind": "class", "doc": "\n"}, "sqlglot.tokens.Token.__init__": {"fullname": "sqlglot.tokens.Token.__init__", "modulename": "sqlglot.tokens", "qualname": "Token.__init__", "kind": "function", "doc": "\n", "signature": "(\ttoken_type: sqlglot.tokens.TokenType,\ttext: str,\tline: int = 1,\tcol: int = 1,\tend: int = 0,\tcomments: List[str] = [])"}, "sqlglot.tokens.Token.number": {"fullname": "sqlglot.tokens.Token.number", "modulename": "sqlglot.tokens", "qualname": "Token.number", "kind": "function", "doc": "Returns a NUMBER token with number
as its text.
Returns a STRING token with string
as its text.
Returns an IDENTIFIER token with identifier
as its text.
Returns an VAR token with var
as its text.
Returns the start of the token.
\n", "annotation": ": int"}, "sqlglot.tokens.Tokenizer": {"fullname": "sqlglot.tokens.Tokenizer", "modulename": "sqlglot.tokens", "qualname": "Tokenizer", "kind": "class", "doc": "\n"}, "sqlglot.tokens.Tokenizer.reset": {"fullname": "sqlglot.tokens.Tokenizer.reset", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.reset", "kind": "function", "doc": "\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.tokenize": {"fullname": "sqlglot.tokens.Tokenizer.tokenize", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.tokenize", "kind": "function", "doc": "Returns a list of tokens corresponding to the SQL string sql
.
Replace references to select aliases in GROUP BY clauses.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT a AS b FROM x GROUP BY b").transform(unalias_group).sql()\n'SELECT a AS b FROM x GROUP BY 1'\n
\n\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_distinct_on": {"fullname": "sqlglot.transforms.eliminate_distinct_on", "modulename": "sqlglot.transforms", "qualname": "eliminate_distinct_on", "kind": "function", "doc": "The transformed expression.
\n
Convert SELECT DISTINCT ON statements to a subquery with a window function.
\n\nThis is useful for dialects that don't support SELECT DISTINCT ON but support window functions.
\n\n\n\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_qualify": {"fullname": "sqlglot.transforms.eliminate_qualify", "modulename": "sqlglot.transforms", "qualname": "eliminate_qualify", "kind": "function", "doc": "The transformed expression.
\n
Convert SELECT statements that contain the QUALIFY clause into subqueries, filtered equivalently.
\n\nThe idea behind this transformation can be seen in Snowflake's documentation for QUALIFY:\nhttps://docs.snowflake.com/en/sql-reference/constructs/qualify
\n\nSome dialects don't support window functions in the WHERE clause, so we need to include them as\nprojections in the subquery, in order to refer to them in the outer filter using aliases. Also,\nif a column is referenced in the QUALIFY clause but is not selected, we need to include it too,\notherwise we won't be able to refer to it in the outer query's WHERE clause.
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_precision_parameterized_types": {"fullname": "sqlglot.transforms.remove_precision_parameterized_types", "modulename": "sqlglot.transforms", "qualname": "remove_precision_parameterized_types", "kind": "function", "doc": "Some dialects only allow the precision for parameterized types to be defined in the DDL and not in\nother expressions. This transforms removes the precision from parameterized types in expressions.
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\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.explode_to_unnest": {"fullname": "sqlglot.transforms.explode_to_unnest", "modulename": "sqlglot.transforms", "qualname": "explode_to_unnest", "kind": "function", "doc": "Convert explode/posexplode into unnest (used in hive -> presto).
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_target_from_merge": {"fullname": "sqlglot.transforms.remove_target_from_merge", "modulename": "sqlglot.transforms", "qualname": "remove_target_from_merge", "kind": "function", "doc": "Remove table refs from columns in when statements.
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function.
\n\n", "signature": "(\ttransforms: List[Callable[[sqlglot.expressions.Expression], sqlglot.expressions.Expression]]) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.trie": {"fullname": "sqlglot.trie", "modulename": "sqlglot.trie", "kind": "module", "doc": "\n"}, "sqlglot.trie.new_trie": {"fullname": "sqlglot.trie.new_trie", "modulename": "sqlglot.trie", "qualname": "new_trie", "kind": "function", "doc": "Function that can be used as a generator transform.
\n
Creates a new trie out of a collection of keywords.
\n\nThe trie is represented as a sequence of nested dictionaries keyed by either single character\nstrings, or by 0, which is used to designate that a keyword is in the trie.
\n\n\n\n\n\n\n\n>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n
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\nkeywords
.
Checks whether a key is in a trie.
\n\n\n\n\n\n\n \n\n>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n
\n\n \n\n>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n
\n\n\n>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n
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SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 19 different dialects like DuckDB, Presto, Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically correct SQL in the targeted dialects.
\n\nIt is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python.
\n\nYou can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL.
\n\nSyntax errors are highlighted and dialect incompatibilities can warn or raise depending on configurations. However, it should be noted that SQL validation is not SQLGlot\u2019s goal, so some syntax errors may go unnoticed.
\n\nContributions are very welcome in SQLGlot; read the contribution guide to get started!
\n\nFrom PyPI:
\n\npip3 install sqlglot\n
\n\nOr with a local checkout:
\n\nmake install\n
\n\nRequirements for development (optional):
\n\nmake install-dev\n
\n\nWe'd love to hear from you. Join our community Slack channel!
\n\nEasily translate from one dialect to another. For example, date/time functions vary from dialects and can be hard to deal with:
\n\nimport sqlglot\nsqlglot.transpile("SELECT EPOCH_MS(1618088028295)", read="duckdb", write="hive")[0]\n
\n'SELECT FROM_UNIXTIME(1618088028295 / 1000)'\n
\nSQLGlot can even translate custom time formats:
\n\nimport sqlglot\nsqlglot.transpile("SELECT STRFTIME(x, '%y-%-m-%S')", read="duckdb", write="hive")[0]\n
\n"SELECT DATE_FORMAT(x, 'yy-M-ss')"\n
\nAs another example, let's suppose that we want to read in a SQL query that contains a CTE and a cast to REAL
, and then transpile it to Spark, which uses backticks for identifiers and FLOAT
instead of REAL
:
import sqlglot\n\nsql = """WITH baz AS (SELECT a, c FROM foo WHERE a = 1) SELECT f.a, b.b, baz.c, CAST("b"."a" AS REAL) d FROM foo f JOIN bar b ON f.a = b.a LEFT JOIN baz ON f.a = baz.a"""\nprint(sqlglot.transpile(sql, write="spark", identify=True, pretty=True)[0])\n
\nWITH `baz` AS (\n SELECT\n `a`,\n `c`\n FROM `foo`\n WHERE\n `a` = 1\n)\nSELECT\n `f`.`a`,\n `b`.`b`,\n `baz`.`c`,\n CAST(`b`.`a` AS FLOAT) AS `d`\nFROM `foo` AS `f`\nJOIN `bar` AS `b`\n ON `f`.`a` = `b`.`a`\nLEFT JOIN `baz`\n ON `f`.`a` = `baz`.`a`\n
\nComments are also preserved in a best-effort basis when transpiling SQL code:
\n\nsql = """\n/* multi\n line\n comment\n*/\nSELECT\n tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n CAST(x AS INT), # comment 3\n y -- comment 4\nFROM\n bar /* comment 5 */,\n tbl # comment 6\n"""\n\nprint(sqlglot.transpile(sql, read='mysql', pretty=True)[0])\n
\n/* multi\n line\n comment\n*/\nSELECT\n tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n CAST(x AS INT), /* comment 3 */\n y /* comment 4 */\nFROM bar /* comment 5 */, tbl /* comment 6 */\n
\nYou can explore SQL with expression helpers to do things like find columns and tables:
\n\nfrom sqlglot import parse_one, exp\n\n# print all column references (a and b)\nfor column in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Column):\n print(column.alias_or_name)\n\n# find all projections in select statements (a and c)\nfor select in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Select):\n for projection in select.expressions:\n print(projection.alias_or_name)\n\n# find all tables (x, y, z)\nfor table in parse_one("SELECT * FROM x JOIN y JOIN z").find_all(exp.Table):\n print(table.name)\n
\nWhen the parser detects an error in the syntax, it raises a ParserError:
\n\nimport sqlglot\nsqlglot.transpile("SELECT foo( FROM bar")\n
\nsqlglot.errors.ParseError: Expecting ). Line 1, Col: 13.\n select foo( FROM bar\n ~~~~\n
\n\nStructured syntax errors are accessible for programmatic use:
\n\nimport sqlglot\ntry:\n sqlglot.transpile("SELECT foo( FROM bar")\nexcept sqlglot.errors.ParseError as e:\n print(e.errors)\n
\n[{\n 'description': 'Expecting )',\n 'line': 1,\n 'col': 13,\n 'start_context': 'SELECT foo( ',\n 'highlight': 'FROM',\n 'end_context': ' bar'\n}]\n
\nPresto APPROX_DISTINCT
supports the accuracy argument which is not supported in Hive:
import sqlglot\nsqlglot.transpile("SELECT APPROX_DISTINCT(a, 0.1) FROM foo", read="presto", write="hive")\n
\nAPPROX_COUNT_DISTINCT does not support accuracy\n'SELECT APPROX_COUNT_DISTINCT(a) FROM foo'\n
\nSQLGlot supports incrementally building sql expressions:
\n\nfrom sqlglot import select, condition\n\nwhere = condition("x=1").and_("y=1")\nselect("*").from_("y").where(where).sql()\n
\n'SELECT * FROM y WHERE x = 1 AND y = 1'\n
\nYou can also modify a parsed tree:
\n\nfrom sqlglot import parse_one\nparse_one("SELECT x FROM y").from_("z").sql()\n
\n'SELECT x FROM y, z'\n
\nThere is also a way to recursively transform the parsed tree by applying a mapping function to each tree node:
\n\nfrom sqlglot import exp, parse_one\n\nexpression_tree = parse_one("SELECT a FROM x")\n\ndef transformer(node):\n if isinstance(node, exp.Column) and node.name == "a":\n return parse_one("FUN(a)")\n return node\n\ntransformed_tree = expression_tree.transform(transformer)\ntransformed_tree.sql()\n
\n'SELECT FUN(a) FROM x'\n
\nSQLGlot can rewrite queries into an \"optimized\" form. It performs a variety of techniques to create a new canonical AST. This AST can be used to standardize queries or provide the foundations for implementing an actual engine. For example:
\n\nimport sqlglot\nfrom sqlglot.optimizer import optimize\n\nprint(\n optimize(\n sqlglot.parse_one("""\n SELECT A OR (B OR (C AND D))\n FROM x\n WHERE Z = date '2021-01-01' + INTERVAL '1' month OR 1 = 0\n """),\n schema={"x": {"A": "INT", "B": "INT", "C": "INT", "D": "INT", "Z": "STRING"}}\n ).sql(pretty=True)\n)\n
\nSELECT\n (\n "x"."a" OR "x"."b" OR "x"."c"\n ) AND (\n "x"."a" OR "x"."b" OR "x"."d"\n ) AS "_col_0"\nFROM "x" AS "x"\nWHERE\n CAST("x"."z" AS DATE) = CAST('2021-02-01' AS DATE)\n
\nYou can see the AST version of the sql by calling repr
:
from sqlglot import parse_one\nprint(repr(parse_one("SELECT a + 1 AS z")))\n
\n(SELECT expressions:\n (ALIAS this:\n (ADD this:\n (COLUMN this:\n (IDENTIFIER this: a, quoted: False)), expression:\n (LITERAL this: 1, is_string: False)), alias:\n (IDENTIFIER this: z, quoted: False)))\n
\nSQLGlot can calculate the difference between two expressions and output changes in a form of a sequence of actions needed to transform a source expression into a target one:
\n\nfrom sqlglot import diff, parse_one\ndiff(parse_one("SELECT a + b, c, d"), parse_one("SELECT c, a - b, d"))\n
\n[\n Remove(expression=(ADD this:\n (COLUMN this:\n (IDENTIFIER this: a, quoted: False)), expression:\n (COLUMN this:\n (IDENTIFIER this: b, quoted: False)))),\n Insert(expression=(SUB this:\n (COLUMN this:\n (IDENTIFIER this: a, quoted: False)), expression:\n (COLUMN this:\n (IDENTIFIER this: b, quoted: False)))),\n Move(expression=(COLUMN this:\n (IDENTIFIER this: c, quoted: False))),\n Keep(source=(IDENTIFIER this: b, quoted: False), target=(IDENTIFIER this: b, quoted: False)),\n ...\n]\n
\nSee also: Semantic Diff for SQL.
\n\nDialects can be added by subclassing Dialect
:
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n class Tokenizer(Tokenizer):\n QUOTES = ["'", '"']\n IDENTIFIERS = ["`"]\n\n KEYWORDS = {\n **Tokenizer.KEYWORDS,\n "INT64": TokenType.BIGINT,\n "FLOAT64": TokenType.DOUBLE,\n }\n\n class Generator(Generator):\n TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n TYPE_MAPPING = {\n exp.DataType.Type.TINYINT: "INT64",\n exp.DataType.Type.SMALLINT: "INT64",\n exp.DataType.Type.INT: "INT64",\n exp.DataType.Type.BIGINT: "INT64",\n exp.DataType.Type.DECIMAL: "NUMERIC",\n exp.DataType.Type.FLOAT: "FLOAT64",\n exp.DataType.Type.DOUBLE: "FLOAT64",\n exp.DataType.Type.BOOLEAN: "BOOL",\n exp.DataType.Type.TEXT: "STRING",\n }\n\nprint(Dialect["custom"])\n
\n<class '__main__.Custom'>\n
\n\nOne can even interpret SQL queries using SQLGlot, where the tables are represented as Python dictionaries. Although the engine is not very fast (it's not supposed to be) and is in a relatively early stage of development, it can be useful for unit testing and running SQL natively across Python objects. Additionally, the foundation can be easily integrated with fast compute kernels (arrow, pandas). Below is an example showcasing the execution of a SELECT expression that involves aggregations and JOINs:
\n\nfrom sqlglot.executor import execute\n\ntables = {\n "sushi": [\n {"id": 1, "price": 1.0},\n {"id": 2, "price": 2.0},\n {"id": 3, "price": 3.0},\n ],\n "order_items": [\n {"sushi_id": 1, "order_id": 1},\n {"sushi_id": 1, "order_id": 1},\n {"sushi_id": 2, "order_id": 1},\n {"sushi_id": 3, "order_id": 2},\n ],\n "orders": [\n {"id": 1, "user_id": 1},\n {"id": 2, "user_id": 2},\n ],\n}\n\nexecute(\n """\n SELECT\n o.user_id,\n SUM(s.price) AS price\n FROM orders o\n JOIN order_items i\n ON o.id = i.order_id\n JOIN sushi s\n ON i.sushi_id = s.id\n GROUP BY o.user_id\n """,\n tables=tables\n)\n
\nuser_id price\n 1 4.0\n 2 3.0\n
\nSee also: Writing a Python SQL engine from scratch.
\n\nSQLGlot uses pdoc to serve its API documentation:
\n\nmake docs-serve\n
\n\nmake check # Set SKIP_INTEGRATION=1 to skip integration tests\n
\n\nBenchmarks run on Python 3.10.5 in seconds.
\n\nQuery | \nsqlglot | \nsqlfluff | \nsqltree | \nsqlparse | \nmoz_sql_parser | \nsqloxide | \n
---|---|---|---|---|---|---|
tpch | \n0.01308 (1.0) | \n1.60626 (122.7) | \n0.01168 (0.893) | \n0.04958 (3.791) | \n0.08543 (6.531) | \n0.00136 (0.104) | \n
short | \n0.00109 (1.0) | \n0.14134 (129.2) | \n0.00099 (0.906) | \n0.00342 (3.131) | \n0.00652 (5.970) | \n8.76E-5 (0.080) | \n
long | \n0.01399 (1.0) | \n2.12632 (151.9) | \n0.01126 (0.805) | \n0.04410 (3.151) | \n0.06671 (4.767) | \n0.00107 (0.076) | \n
crazy | \n0.03969 (1.0) | \n24.3777 (614.1) | \n0.03917 (0.987) | \n11.7043 (294.8) | \n1.03280 (26.02) | \n0.00625 (0.157) | \n
SQLGlot uses dateutil to simplify literal timedelta expressions. The optimizer will not simplify expressions like the following if the module cannot be found:
\n\nx + interval '1' month\n
\nWhether to format generated SQL by default.
\n", "default_value": "False"}, "sqlglot.schema": {"fullname": "sqlglot.schema", "modulename": "sqlglot.schema", "kind": "module", "doc": "\n"}, "sqlglot.parse": {"fullname": "sqlglot.parse", "modulename": "sqlglot", "qualname": "parse", "kind": "function", "doc": "Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.
\n\nsqlglot.parser.Parser
options.\n\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parse_one": {"fullname": "sqlglot.parse_one", "modulename": "sqlglot", "qualname": "parse_one", "kind": "function", "doc": "The resulting syntax tree collection.
\n
Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.
\n\nsqlglot.parser.Parser
options.\n\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transpile": {"fullname": "sqlglot.transpile", "modulename": "sqlglot", "qualname": "transpile", "kind": "function", "doc": "The syntax tree for the first parsed statement.
\n
Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed\nto conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.
\n\nTrue
and if the target dialect is not specified the source dialect will be used as both:\nthe source and the target dialect.sqlglot.generator.Generator
options.\n\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\twrite: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentity: bool = True,\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\t**opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe": {"fullname": "sqlglot.dataframe", "modulename": "sqlglot.dataframe", "kind": "module", "doc": "The list of transpiled SQL statements.
\n
This is a drop-in replacement for the PySpark DataFrame API that will generate SQL instead of executing DataFrame operations directly. This, when combined with the transpiling support in SQLGlot, allows one to write PySpark DataFrame code and execute it on other engines like DuckDB, Presto, Spark, Snowflake, and BigQuery.
\n\nCurrently many of the common operations are covered and more functionality will be added over time. Please open an issue or PR with your feedback or contribution to help influence what should be prioritized next and make sure your use case is properly supported.
\n\nfrom pyspark.sql
with from sqlglot.dataframe
.spark.read.table
or spark.table
run sqlglot.schema.add_table('<table_name>', <column_structure>)
.\n{'cola': 'string', 'colb': 'int'}
StructType
similar to when using createDataFrame
.\nStructType([StructField('cola', StringType()), StructField('colb', IntegerType())])
createDataFrame
.\ncola: STRING, colb: INT
['cola', 'colb']
.sql(pretty=True)
to your final DataFrame command to return a list of sql statements to run that command.\n.sql(pretty=True, dialect='bigquery')
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\n\nsqlglot.schema.add_table('employee', {\n 'employee_id': 'INT',\n 'fname': 'STRING',\n 'lname': 'STRING',\n 'age': 'INT',\n}) # Register the table structure prior to reading from the table\n\nspark = SparkSession()\n\ndf = (\n spark\n .table('employee')\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True)) # Spark will be the dialect used by default\n
\nSELECT\n `employee`.`age` AS `age`,\n COUNT(DISTINCT `employee`.`employee_id`) AS `num_employees`\nFROM `employee` AS `employee`\nGROUP BY\n `employee`.`age`\n
\n\nThe step of adding sqlglot.schema.add_table
can be skipped if you have the column structure stored externally like in a file or from an external metadata table. This can be done by writing a class that implements the sqlglot.schema.Schema
abstract class and then assigning that class to sqlglot.schema
.
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\nfrom sqlglot.schema import Schema\n\n\nclass ExternalSchema(Schema):\n ...\n\nsqlglot.schema = ExternalSchema()\n\nspark = SparkSession()\n\ndf = (\n spark\n .table('employee')\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))\n
\nfrom google.cloud import bigquery\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\nclient = bigquery.Client()\n\ndata = [\n (1, "Jack", "Shephard", 34),\n (2, "John", "Locke", 48),\n (3, "Kate", "Austen", 34),\n (4, "Claire", "Littleton", 22),\n (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n types.StructField('employee_id', types.IntegerType(), False),\n types.StructField('fname', types.StringType(), False),\n types.StructField('lname', types.StringType(), False),\n types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n SparkSession()\n .createDataFrame(data, schema)\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n .sql(dialect="bigquery")\n)\n\nresult = None\nfor sql in sql_statements:\n result = client.query(sql)\n\nassert result is not None\nfor row in client.query(result):\n print(f"Age: {row['age']}, Num Employees: {row['num_employees']}")\n
\nimport os\n\nimport snowflake.connector\nfrom sqlglot.dataframe.session import SparkSession\nfrom sqlglot.dataframe import types\nfrom sqlglot.dataframe import functions as F\n\nctx = snowflake.connector.connect(\n user=os.environ["SNOWFLAKE_USER"],\n password=os.environ["SNOWFLAKE_PASS"],\n account=os.environ["SNOWFLAKE_ACCOUNT"]\n)\ncs = ctx.cursor()\n\ndata = [\n (1, "Jack", "Shephard", 34),\n (2, "John", "Locke", 48),\n (3, "Kate", "Austen", 34),\n (4, "Claire", "Littleton", 22),\n (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n types.StructField('employee_id', types.IntegerType(), False),\n types.StructField('fname', types.StringType(), False),\n types.StructField('lname', types.StringType(), False),\n types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n SparkSession()\n .createDataFrame(data, schema)\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("lname")).alias("num_employees"))\n .sql(dialect="snowflake")\n)\n\ntry:\n for sql in sql_statements:\n cs.execute(sql)\n results = cs.fetchall()\n for row in results:\n print(f"Age: {row[0]}, Num Employees: {row[1]}")\nfinally:\n cs.close()\nctx.close()\n
\nfrom pyspark.sql.session import SparkSession as PySparkSession\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\ndata = [\n (1, "Jack", "Shephard", 34),\n (2, "John", "Locke", 48),\n (3, "Kate", "Austen", 34),\n (4, "Claire", "Littleton", 22),\n (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n types.StructField('employee_id', types.IntegerType(), False),\n types.StructField('fname', types.StringType(), False),\n types.StructField('lname', types.StringType(), False),\n types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n SparkSession()\n .createDataFrame(data, schema)\n .groupBy(F.col("age"))\n .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n .sql(dialect="spark")\n)\n\npyspark = PySparkSession.builder.master("local[*]").getOrCreate()\n\ndf = None\nfor sql in sql_statements:\n df = pyspark.sql(sql)\n\nassert df is not None\ndf.show()\n
\nAny operation that lacks a way to represent it in SQL cannot be supported by this tool. An example of this would be rdd operations. Since the DataFrame API though is mostly modeled around SQL concepts most operations can be supported.
\n"}, "sqlglot.dataframe.sql": {"fullname": "sqlglot.dataframe.sql", "modulename": "sqlglot.dataframe.sql", "kind": "module", "doc": "\n"}, "sqlglot.dataframe.sql.SparkSession": {"fullname": "sqlglot.dataframe.sql.SparkSession", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.SparkSession.table": {"fullname": "sqlglot.dataframe.sql.SparkSession.table", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.table", "kind": "function", "doc": "\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"fullname": "sqlglot.dataframe.sql.SparkSession.createDataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.createDataFrame", "kind": "function", "doc": "\n", "signature": "(\tself,\tdata: Sequence[Union[Dict[str, <MagicMock id='140482330521808'>], List[<MagicMock id='140482330521808'>], Tuple]],\tschema: Optional[<MagicMock id='140482330535600'>] = None,\tsamplingRatio: Optional[float] = None,\tverifySchema: bool = False) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.sql": {"fullname": "sqlglot.dataframe.sql.SparkSession.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.sql", "kind": "function", "doc": "\n", "signature": "(self, sqlQuery: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame": {"fullname": "sqlglot.dataframe.sql.DataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.DataFrame.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrame.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.__init__", "kind": "function", "doc": "\n", "signature": "(\tspark: <MagicMock id='140482335596384'>,\texpression: sqlglot.expressions.Select,\tbranch_id: Optional[str] = None,\tsequence_id: Optional[str] = None,\tlast_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,\tpending_hints: Optional[List[sqlglot.expressions.Expression]] = None,\toutput_expression_container: Optional[<MagicMock id='140482335520656'>] = None,\t**kwargs)"}, "sqlglot.dataframe.sql.DataFrame.sql": {"fullname": "sqlglot.dataframe.sql.DataFrame.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sql", "kind": "function", "doc": "\n", "signature": "(self, dialect='spark', optimize=True, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.copy": {"fullname": "sqlglot.dataframe.sql.DataFrame.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.copy", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.select": {"fullname": "sqlglot.dataframe.sql.DataFrame.select", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.select", "kind": "function", "doc": "\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.alias": {"fullname": "sqlglot.dataframe.sql.DataFrame.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.alias", "kind": "function", "doc": "\n", "signature": "(self, name: str, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.where": {"fullname": "sqlglot.dataframe.sql.DataFrame.where", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.where", "kind": "function", "doc": "\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.filter": {"fullname": "sqlglot.dataframe.sql.DataFrame.filter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.filter", "kind": "function", "doc": "\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.groupBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.groupBy", "kind": "function", "doc": "\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.group.GroupedData:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.agg": {"fullname": "sqlglot.dataframe.sql.DataFrame.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.agg", "kind": "function", "doc": "\n", "signature": "(self, *exprs, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.join": {"fullname": "sqlglot.dataframe.sql.DataFrame.join", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.join", "kind": "function", "doc": "\n", "signature": "(\tself,\tother_df: sqlglot.dataframe.sql.dataframe.DataFrame,\ton: Union[str, List[str], sqlglot.dataframe.sql.column.Column, List[sqlglot.dataframe.sql.column.Column]],\thow: str = 'inner',\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.orderBy", "kind": "function", "doc": "This implementation lets any ordered columns take priority over whatever is provided in ascending
. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.
This implementation lets any ordered columns take priority over whatever is provided in ascending
. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.
Functionality Difference: If you provide a value to replace a null and that type conflicts\nwith the type of the column then PySpark will just ignore your replacement.\nThis will try to cast them to be the same in some cases. So they won't always match.\nBest to not mix types so make sure replacement is the same type as the column
\n\nPossibility for improvement: Use typeof
function to get the type of the column\nand check if it matches the type of the value provided. If not then make it null.
Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html
\n", "signature": "(\tself,\tstorageLevel: str = 'MEMORY_AND_DISK_SER') -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData": {"fullname": "sqlglot.dataframe.sql.GroupedData", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.GroupedData.__init__": {"fullname": "sqlglot.dataframe.sql.GroupedData.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.__init__", "kind": "function", "doc": "\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tgroup_by_cols: List[sqlglot.dataframe.sql.column.Column],\tlast_op: sqlglot.dataframe.sql.operations.Operation)"}, "sqlglot.dataframe.sql.GroupedData.agg": {"fullname": "sqlglot.dataframe.sql.GroupedData.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.agg", "kind": "function", "doc": "\n", "signature": "(\tself,\t*exprs: Union[sqlglot.dataframe.sql.column.Column, Dict[str, str]]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.count": {"fullname": "sqlglot.dataframe.sql.GroupedData.count", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.count", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.mean": {"fullname": "sqlglot.dataframe.sql.GroupedData.mean", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.mean", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.avg": {"fullname": "sqlglot.dataframe.sql.GroupedData.avg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.avg", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.max": {"fullname": "sqlglot.dataframe.sql.GroupedData.max", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.max", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.min": {"fullname": "sqlglot.dataframe.sql.GroupedData.min", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.min", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.sum": {"fullname": "sqlglot.dataframe.sql.GroupedData.sum", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.sum", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.pivot": {"fullname": "sqlglot.dataframe.sql.GroupedData.pivot", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.pivot", "kind": "function", "doc": "\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column": {"fullname": "sqlglot.dataframe.sql.Column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.Column.__init__": {"fullname": "sqlglot.dataframe.sql.Column.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.__init__", "kind": "function", "doc": "\n", "signature": "(\texpression: Union[<MagicMock id='140482331597488'>, sqlglot.expressions.Expression, NoneType])"}, "sqlglot.dataframe.sql.Column.ensure_col": {"fullname": "sqlglot.dataframe.sql.Column.ensure_col", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_col", "kind": "function", "doc": "\n", "signature": "(\tcls,\tvalue: Union[<MagicMock id='140482329703328'>, sqlglot.expressions.Expression, NoneType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_cols": {"fullname": "sqlglot.dataframe.sql.Column.ensure_cols", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_cols", "kind": "function", "doc": "\n", "signature": "(\tcls,\targs: List[Union[<MagicMock id='140482330200576'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.column.Column]:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"fullname": "sqlglot.dataframe.sql.Column.invoke_anonymous_function", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_anonymous_function", "kind": "function", "doc": "\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140482329857520'>],\tfunc_name: str,\t*args: Optional[<MagicMock id='140482329881584'>]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"fullname": "sqlglot.dataframe.sql.Column.invoke_expression_over_column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_expression_over_column", "kind": "function", "doc": "\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140482329799712'>],\tcallable_expression: Callable,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.binary_op": {"fullname": "sqlglot.dataframe.sql.Column.binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.binary_op", "kind": "function", "doc": "\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140482329769152'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"fullname": "sqlglot.dataframe.sql.Column.inverse_binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.inverse_binary_op", "kind": "function", "doc": "\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140482329759984'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.unary_op": {"fullname": "sqlglot.dataframe.sql.Column.unary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.unary_op", "kind": "function", "doc": "\n", "signature": "(self, klass: Callable, **kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_literal": {"fullname": "sqlglot.dataframe.sql.Column.ensure_literal", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_literal", "kind": "function", "doc": "\n", "signature": "(cls, value) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.copy": {"fullname": "sqlglot.dataframe.sql.Column.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.copy", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.set_table_name": {"fullname": "sqlglot.dataframe.sql.Column.set_table_name", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.set_table_name", "kind": "function", "doc": "\n", "signature": "(self, table_name: str, copy=False) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.sql": {"fullname": "sqlglot.dataframe.sql.Column.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.sql", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.alias": {"fullname": "sqlglot.dataframe.sql.Column.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.alias", "kind": "function", "doc": "\n", "signature": "(self, name: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc": {"fullname": "sqlglot.dataframe.sql.Column.asc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc": {"fullname": "sqlglot.dataframe.sql.Column.desc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_first", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_last", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_first", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_last", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.when": {"fullname": "sqlglot.dataframe.sql.Column.when", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.when", "kind": "function", "doc": "\n", "signature": "(\tself,\tcondition: sqlglot.dataframe.sql.column.Column,\tvalue: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.otherwise": {"fullname": "sqlglot.dataframe.sql.Column.otherwise", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.otherwise", "kind": "function", "doc": "\n", "signature": "(self, value: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNull": {"fullname": "sqlglot.dataframe.sql.Column.isNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNull", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNotNull": {"fullname": "sqlglot.dataframe.sql.Column.isNotNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNotNull", "kind": "function", "doc": "\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.cast": {"fullname": "sqlglot.dataframe.sql.Column.cast", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.cast", "kind": "function", "doc": "Functionality Difference: PySpark cast accepts a datatype instance of the datatype class\nSqlglot doesn't currently replicate this class so it only accepts a string
\n", "signature": "(self, dataType: Union[str, sqlglot.dataframe.sql.types.DataType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.startswith": {"fullname": "sqlglot.dataframe.sql.Column.startswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.startswith", "kind": "function", "doc": "\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.endswith": {"fullname": "sqlglot.dataframe.sql.Column.endswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.endswith", "kind": "function", "doc": "\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.rlike": {"fullname": "sqlglot.dataframe.sql.Column.rlike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.rlike", "kind": "function", "doc": "\n", "signature": "(self, regexp: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.like": {"fullname": "sqlglot.dataframe.sql.Column.like", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.like", "kind": "function", "doc": "\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ilike": {"fullname": "sqlglot.dataframe.sql.Column.ilike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ilike", "kind": "function", "doc": "\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.substr": {"fullname": "sqlglot.dataframe.sql.Column.substr", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.substr", "kind": "function", "doc": "\n", "signature": "(\tself,\tstartPos: Union[int, sqlglot.dataframe.sql.column.Column],\tlength: Union[int, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isin": {"fullname": "sqlglot.dataframe.sql.Column.isin", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isin", "kind": "function", "doc": "\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140482330346256'>, Iterable[<MagicMock id='140482330346256'>]]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.between": {"fullname": "sqlglot.dataframe.sql.Column.between", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.between", "kind": "function", "doc": "\n", "signature": "(\tself,\tlowerBound: <MagicMock id='140482328352688'>,\tupperBound: <MagicMock id='140482328407168'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.over": {"fullname": "sqlglot.dataframe.sql.Column.over", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.over", "kind": "function", "doc": "\n", "signature": "(\tself,\twindow: <MagicMock id='140482328481264'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.__init__", "kind": "function", "doc": "\n", "signature": "(df: sqlglot.dataframe.sql.dataframe.DataFrame)"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.drop", "kind": "function", "doc": "\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.fill", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.fill", "kind": "function", "doc": "\n", "signature": "(\tself,\tvalue: Union[int, bool, float, str, Dict[str, Any]],\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.replace", "kind": "function", "doc": "\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[str, List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window": {"fullname": "sqlglot.dataframe.sql.Window", "modulename": "sqlglot.dataframe.sql", "qualname": "Window", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.Window.partitionBy": {"fullname": "sqlglot.dataframe.sql.Window.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.partitionBy", "kind": "function", "doc": "\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140482328980416'>, List[<MagicMock id='140482328980416'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.orderBy": {"fullname": "sqlglot.dataframe.sql.Window.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.orderBy", "kind": "function", "doc": "\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140482328995408'>, List[<MagicMock id='140482328995408'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rowsBetween": {"fullname": "sqlglot.dataframe.sql.Window.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rowsBetween", "kind": "function", "doc": "\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rangeBetween": {"fullname": "sqlglot.dataframe.sql.Window.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rangeBetween", "kind": "function", "doc": "\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec": {"fullname": "sqlglot.dataframe.sql.WindowSpec", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"fullname": "sqlglot.dataframe.sql.WindowSpec.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.__init__", "kind": "function", "doc": "\n", "signature": "(expression: sqlglot.expressions.Expression = (WINDOW ))"}, "sqlglot.dataframe.sql.WindowSpec.copy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.copy", "kind": "function", "doc": "\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.sql": {"fullname": "sqlglot.dataframe.sql.WindowSpec.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.sql", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.partitionBy", "kind": "function", "doc": "\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140482328591472'>, List[<MagicMock id='140482328591472'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.orderBy", "kind": "function", "doc": "\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140482328640480'>, List[<MagicMock id='140482328640480'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rowsBetween", "kind": "function", "doc": "\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rangeBetween", "kind": "function", "doc": "\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameReader": {"fullname": "sqlglot.dataframe.sql.DataFrameReader", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.__init__", "kind": "function", "doc": "\n", "signature": "(spark: sqlglot.dataframe.sql.session.SparkSession)"}, "sqlglot.dataframe.sql.DataFrameReader.table": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.table", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.table", "kind": "function", "doc": "\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter", "kind": "class", "doc": "\n"}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.__init__", "kind": "function", "doc": "\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tspark: Optional[sqlglot.dataframe.sql.session.SparkSession] = None,\tmode: Optional[str] = None,\tby_name: bool = False)"}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.copy", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.sql", "kind": "function", "doc": "\n", "signature": "(self, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.mode", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.mode", "kind": "function", "doc": "\n", "signature": "(\tself,\tsaveMode: Optional[str]) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.insertInto", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.insertInto", "kind": "function", "doc": "\n", "signature": "(\tself,\ttableName: str,\toverwrite: Optional[bool] = None) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.saveAsTable", "kind": "function", "doc": "\n", "signature": "(\tself,\tname: str,\tformat: Optional[str] = None,\tmode: Optional[str] = None):", "funcdef": "def"}, "sqlglot.dialects": {"fullname": "sqlglot.dialects", "modulename": "sqlglot.dialects", "kind": "module", "doc": "While there is a SQL standard, most SQL engines support a variation of that standard. This makes it difficult\nto write portable SQL code. SQLGlot bridges all the different variations, called \"dialects\", with an extensible\nSQL transpilation framework.
\n\nThe base sqlglot.dialects.dialect.Dialect
class implements a generic dialect that aims to be as universal as possible.
Each SQL variation has its own Dialect
subclass, extending the corresponding Tokenizer
, Parser
and Generator
\nclasses as needed.
Consider the following example:
\n\nfrom sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n class Tokenizer(Tokenizer):\n QUOTES = ["'", '"']\n IDENTIFIERS = ["`"]\n\n KEYWORDS = {\n **Tokenizer.KEYWORDS,\n "INT64": TokenType.BIGINT,\n "FLOAT64": TokenType.DOUBLE,\n }\n\n class Generator(Generator):\n TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n TYPE_MAPPING = {\n exp.DataType.Type.TINYINT: "INT64",\n exp.DataType.Type.SMALLINT: "INT64",\n exp.DataType.Type.INT: "INT64",\n exp.DataType.Type.BIGINT: "INT64",\n exp.DataType.Type.DECIMAL: "NUMERIC",\n exp.DataType.Type.FLOAT: "FLOAT64",\n exp.DataType.Type.DOUBLE: "FLOAT64",\n exp.DataType.Type.BOOLEAN: "BOOL",\n exp.DataType.Type.TEXT: "STRING",\n }\n
\nThis is a typical example of adding a new dialect implementation in SQLGlot: we specify its identifier and string\ndelimiters, as well as what tokens it uses for its types and how they're associated with SQLGlot types. Since\nthe Expression
classes are common for each dialect supported in SQLGlot, we may also need to override the generation\nlogic for some expressions; this is usually done by adding new entries to the TRANSFORMS
mapping.
Supports BigQuery Standard SQL.
\n"}, "sqlglot.dialects.bigquery.BigQuery": {"fullname": "sqlglot.dialects.bigquery.BigQuery", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery", "kind": "class", "doc": "\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Tokenizer", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Tokenizer", "kind": "class", "doc": "\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Parser", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Parser", "kind": "class", "doc": "Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nAn enumeration.
\n", "bases": "builtins.str, enum.Enum"}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"fullname": "sqlglot.dialects.dialect.Dialects.DIALECT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DIALECT", "kind": "variable", "doc": "\n", "default_value": "<Dialects.DIALECT: ''>"}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"fullname": "sqlglot.dialects.dialect.Dialects.BIGQUERY", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.BIGQUERY", "kind": "variable", "doc": "\n", "default_value": "<Dialects.BIGQUERY: 'bigquery'>"}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"fullname": "sqlglot.dialects.dialect.Dialects.CLICKHOUSE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.CLICKHOUSE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.CLICKHOUSE: 'clickhouse'>"}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"fullname": "sqlglot.dialects.dialect.Dialects.DUCKDB", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DUCKDB", "kind": "variable", "doc": "\n", "default_value": "<Dialects.DUCKDB: 'duckdb'>"}, "sqlglot.dialects.dialect.Dialects.HIVE": {"fullname": "sqlglot.dialects.dialect.Dialects.HIVE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.HIVE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.HIVE: 'hive'>"}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.MYSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.MYSQL", "kind": "variable", "doc": "\n", "default_value": "<Dialects.MYSQL: 'mysql'>"}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"fullname": "sqlglot.dialects.dialect.Dialects.ORACLE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.ORACLE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.ORACLE: 'oracle'>"}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"fullname": "sqlglot.dialects.dialect.Dialects.POSTGRES", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.POSTGRES", "kind": "variable", "doc": "\n", "default_value": "<Dialects.POSTGRES: 'postgres'>"}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"fullname": "sqlglot.dialects.dialect.Dialects.PRESTO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.PRESTO", "kind": "variable", "doc": "\n", "default_value": "<Dialects.PRESTO: 'presto'>"}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"fullname": "sqlglot.dialects.dialect.Dialects.REDSHIFT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.REDSHIFT", "kind": "variable", "doc": "\n", "default_value": "<Dialects.REDSHIFT: 'redshift'>"}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"fullname": "sqlglot.dialects.dialect.Dialects.SNOWFLAKE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SNOWFLAKE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.SNOWFLAKE: 'snowflake'>"}, "sqlglot.dialects.dialect.Dialects.SPARK": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK", "kind": "variable", "doc": "\n", "default_value": "<Dialects.SPARK: 'spark'>"}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK2", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK2", "kind": "variable", "doc": "\n", "default_value": "<Dialects.SPARK2: 'spark2'>"}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"fullname": "sqlglot.dialects.dialect.Dialects.SQLITE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SQLITE", "kind": "variable", "doc": "\n", "default_value": "<Dialects.SQLITE: 'sqlite'>"}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"fullname": "sqlglot.dialects.dialect.Dialects.STARROCKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.STARROCKS", "kind": "variable", "doc": "\n", "default_value": "<Dialects.STARROCKS: 'starrocks'>"}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"fullname": "sqlglot.dialects.dialect.Dialects.TABLEAU", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TABLEAU", "kind": "variable", "doc": "\n", "default_value": "<Dialects.TABLEAU: 'tableau'>"}, "sqlglot.dialects.dialect.Dialects.TRINO": {"fullname": "sqlglot.dialects.dialect.Dialects.TRINO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TRINO", "kind": "variable", "doc": "\n", "default_value": "<Dialects.TRINO: 'trino'>"}, "sqlglot.dialects.dialect.Dialects.TSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.TSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TSQL", "kind": "variable", "doc": "\n", "default_value": "<Dialects.TSQL: 'tsql'>"}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"fullname": "sqlglot.dialects.dialect.Dialects.DATABRICKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DATABRICKS", "kind": "variable", "doc": "\n", "default_value": "<Dialects.DATABRICKS: 'databricks'>"}, "sqlglot.dialects.dialect.Dialects.DRILL": {"fullname": "sqlglot.dialects.dialect.Dialects.DRILL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DRILL", "kind": "variable", "doc": "\n", "default_value": "<Dialects.DRILL: 'drill'>"}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"fullname": "sqlglot.dialects.dialect.Dialects.TERADATA", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TERADATA", "kind": "variable", "doc": "\n", "default_value": "<Dialects.TERADATA: 'teradata'>"}, "sqlglot.dialects.dialect.Dialect": {"fullname": "sqlglot.dialects.dialect.Dialect", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect", "kind": "class", "doc": "\n"}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"fullname": "sqlglot.dialects.dialect.Dialect.get_or_raise", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.get_or_raise", "kind": "function", "doc": "\n", "signature": "(\tcls,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> Type[sqlglot.dialects.dialect.Dialect]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.format_time": {"fullname": "sqlglot.dialects.dialect.Dialect.format_time", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.format_time", "kind": "function", "doc": "\n", "signature": "(\tcls,\texpression: Union[str, sqlglot.expressions.Expression, NoneType]) -> Optional[sqlglot.expressions.Expression]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse": {"fullname": "sqlglot.dialects.dialect.Dialect.parse", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse", "kind": "function", "doc": "\n", "signature": "(self, sql: str, **opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse_into": {"fullname": "sqlglot.dialects.dialect.Dialect.parse_into", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse_into", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression_type: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\tsql: str,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generate": {"fullname": "sqlglot.dialects.dialect.Dialect.generate", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generate", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\t**opts) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.transpile": {"fullname": "sqlglot.dialects.dialect.Dialect.transpile", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.transpile", "kind": "function", "doc": "\n", "signature": "(self, sql: str, **opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.tokenize": {"fullname": "sqlglot.dialects.dialect.Dialect.tokenize", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.tokenize", "kind": "function", "doc": "\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parser": {"fullname": "sqlglot.dialects.dialect.Dialect.parser", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parser", "kind": "function", "doc": "\n", "signature": "(self, **opts) -> sqlglot.parser.Parser:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generator": {"fullname": "sqlglot.dialects.dialect.Dialect.generator", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generator", "kind": "function", "doc": "\n", "signature": "(self, **opts) -> sqlglot.generator.Generator:", "funcdef": "def"}, "sqlglot.dialects.dialect.rename_func": {"fullname": "sqlglot.dialects.dialect.rename_func", "modulename": "sqlglot.dialects.dialect", "qualname": "rename_func", "kind": "function", "doc": "\n", "signature": "(\tname: str) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"fullname": "sqlglot.dialects.dialect.approx_count_distinct_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "approx_count_distinct_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ApproxDistinct) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.if_sql": {"fullname": "sqlglot.dialects.dialect.if_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "if_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtract | sqlglot.expressions.JSONBExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_scalar_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtractScalar | sqlglot.expressions.JSONBExtractScalar) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.inline_array_sql": {"fullname": "sqlglot.dialects.dialect.inline_array_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "inline_array_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_ilike_sql": {"fullname": "sqlglot.dialects.dialect.no_ilike_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_ilike_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"fullname": "sqlglot.dialects.dialect.no_paren_current_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_paren_current_date_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"fullname": "sqlglot.dialects.dialect.no_recursive_cte_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_recursive_cte_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"fullname": "sqlglot.dialects.dialect.no_safe_divide_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_safe_divide_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.SafeDivide) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_tablesample_sql": {"fullname": "sqlglot.dialects.dialect.no_tablesample_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_tablesample_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_pivot_sql": {"fullname": "sqlglot.dialects.dialect.no_pivot_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_pivot_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_trycast_sql": {"fullname": "sqlglot.dialects.dialect.no_trycast_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_trycast_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_properties_sql": {"fullname": "sqlglot.dialects.dialect.no_properties_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_properties_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"fullname": "sqlglot.dialects.dialect.no_comment_column_constraint_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_comment_column_constraint_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CommentColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_position_sql": {"fullname": "sqlglot.dialects.dialect.str_position_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_position_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.struct_extract_sql": {"fullname": "sqlglot.dialects.dialect.struct_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "struct_extract_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StructExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.var_map_sql": {"fullname": "sqlglot.dialects.dialect.var_map_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "var_map_sql", "kind": "function", "doc": "\n", "signature": "(\tself: 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\n\n\n\n", "signature": "(\texp_class: Type[~E],\tdialect: str,\tdefault: Union[bool, str, NoneType] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"fullname": "sqlglot.dialects.dialect.create_with_partitions_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "create_with_partitions_sql", "kind": "function", "doc": "A callable that can be used to return the appropriately formatted time expression.
\n
In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the\nPARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding\ncolumns are removed from the create statement.
\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta": {"fullname": "sqlglot.dialects.dialect.parse_date_delta", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta", "kind": "function", "doc": "\n", "signature": "(\texp_class: Type[~E],\tunit_mapping: Optional[Dict[str, str]] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"fullname": "sqlglot.dialects.dialect.parse_date_delta_with_interval", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta_with_interval", "kind": "function", "doc": "\n", "signature": "(expression_class: Type[~E]) -> Callable[[Sequence], Optional[~E]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.date_trunc_to_time": {"fullname": "sqlglot.dialects.dialect.date_trunc_to_time", "modulename": "sqlglot.dialects.dialect", "qualname": "date_trunc_to_time", "kind": "function", "doc": "\n", "signature": "(\targs: Sequence) -> sqlglot.expressions.DateTrunc | sqlglot.expressions.TimestampTrunc:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"fullname": "sqlglot.dialects.dialect.timestamptrunc_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestamptrunc_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimestampTrunc) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.locate_to_strposition": {"fullname": "sqlglot.dialects.dialect.locate_to_strposition", "modulename": "sqlglot.dialects.dialect", "qualname": "locate_to_strposition", "kind": "function", "doc": "\n", "signature": "(args: Sequence) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"fullname": "sqlglot.dialects.dialect.strposition_to_locate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "strposition_to_locate_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestrtotime_sql": {"fullname": "sqlglot.dialects.dialect.timestrtotime_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestrtotime_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimeStrToTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.datestrtodate_sql": {"fullname": "sqlglot.dialects.dialect.datestrtodate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "datestrtodate_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateStrToDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.min_or_least": {"fullname": "sqlglot.dialects.dialect.min_or_least", "modulename": "sqlglot.dialects.dialect", "qualname": "min_or_least", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Min) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.max_or_greatest": {"fullname": "sqlglot.dialects.dialect.max_or_greatest", "modulename": "sqlglot.dialects.dialect", "qualname": "max_or_greatest", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Max) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.count_if_to_sum": {"fullname": "sqlglot.dialects.dialect.count_if_to_sum", "modulename": "sqlglot.dialects.dialect", "qualname": "count_if_to_sum", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CountIf) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.trim_sql": {"fullname": "sqlglot.dialects.dialect.trim_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "trim_sql", "kind": "function", "doc": "\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_to_time_sql": {"fullname": "sqlglot.dialects.dialect.str_to_time_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_to_time_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"fullname": "sqlglot.dialects.dialect.ts_or_ds_to_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "ts_or_ds_to_date_sql", "kind": "function", "doc": "\n", "signature": "(dialect: str) -> Callable:", "funcdef": "def"}, "sqlglot.dialects.drill": {"fullname": "sqlglot.dialects.drill", "modulename": "sqlglot.dialects.drill", "kind": "module", "doc": "\n"}, "sqlglot.dialects.drill.Drill": {"fullname": "sqlglot.dialects.drill.Drill", "modulename": "sqlglot.dialects.drill", "qualname": "Drill", "kind": "class", "doc": "\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.drill.Drill.Tokenizer": {"fullname": "sqlglot.dialects.drill.Drill.Tokenizer", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Tokenizer", "kind": "class", "doc": "\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.drill.Drill.Parser": {"fullname": "sqlglot.dialects.drill.Drill.Parser", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Parser", "kind": "class", "doc": "Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nConverts VALUES...
expression into a series of unions.
Note: If you have a lot of unions then this will result in a large number of recursive statements to\nevaluate the expression. You may need to increase sys.setrecursionlimit
to run and it can also be\nvery slow.
Redshift doesn't have WITH
as part of their with_properties so we remove it
Redshift only supports defining the table name itself (not the db) when renaming tables
\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.datatype_sql", "kind": "function", "doc": "Redshift converts the TEXT
data type to VARCHAR(255)
by default when people more generally mean\nVARCHAR of max length which is VARCHAR(max)
in Redshift. Therefore if we get a TEXT
data type\nwithout precision we convert it to VARCHAR(max)
and if it does have precision then we just convert\nTEXT
to VARCHAR
.
Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nDue to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
\n\nWe also want to make sure that after we find matches where we need to unquote a column that we prevent users\nfrom adding quotes to the column by using the identify
argument when generating the SQL.
Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also\nthat all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need\nto unquote a column that we prevent users from adding quotes to the column by using the identify
argument when\ngenerating the SQL.
Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the\nexpression. This might not be true in a case where the same column name can be sourced from another table that can\nproperly quote but should be true in most cases.
\n", "signature": "(self, expression: sqlglot.expressions.Select) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.describe_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark": {"fullname": "sqlglot.dialects.spark", "modulename": "sqlglot.dialects.spark", "kind": "module", "doc": "\n"}, "sqlglot.dialects.spark.Spark": {"fullname": "sqlglot.dialects.spark.Spark", "modulename": "sqlglot.dialects.spark", "qualname": "Spark", "kind": "class", "doc": "\n", "bases": "sqlglot.dialects.spark2.Spark2"}, "sqlglot.dialects.spark.Spark.Parser": {"fullname": "sqlglot.dialects.spark.Spark.Parser", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Parser", "kind": "class", "doc": "Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nGenerator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nGenerator interprets the given syntax tree and produces a SQL string as an output.
\n\nParser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nSoftware is constantly changing and evolving, and identifying what has changed and reviewing those changes is an integral part of the development process. SQL code is no exception to this.
\n\nText-based diff tools such as git diff
, when applied to a code base, have certain limitations. First, they can only detect insertions and deletions, not movements or updates of individual pieces of code. Second, such tools can only detect changes between lines of text, which is too coarse for something as granular and detailed as source code. Additionally, the outcome of such a diff is dependent on the underlying code formatting, and yields different results if the formatting should change.
Consider the following diff generated by Git:
\n\n\n\nSemantically the query hasn\u2019t changed. The two arguments b
and c
have been swapped (moved), posing no impact on the output of the query. Yet Git replaced the whole affected expression alongside a bulk of unrelated elements.
The alternative to text-based diffing is to compare Abstract Syntax Trees (AST) instead. The main advantage of ASTs are that they are a direct product of code parsing, which represents the underlying code structure at any desired level of granularity. Comparing ASTs may yield extremely precise diffs; changes such as code movements and updates can also be detected. Even more importantly, this approach facilitates additional use cases beyond eyeballing two versions of source code side by side.
\n\nThe use cases I had in mind for SQL when I decided to embark on this journey of semantic diffing were the following:
\n\nThe implementation discussed in this post is now a part of the SQLGlot library. You can find a complete source code in the diff.py module. The choice of SQLglot was an obvious one due to its simple but powerful API, lack of external dependencies and, more importantly, extensive list of supported SQL dialects.
\n\nWhen it comes to any diffing tool (not just a semantic one), the primary challenge is to match as many elements of compared entities as possible. Once such a set of matching elements is available, deriving a sequence of changes becomes an easy task.
\n\nIf our elements have unique identifiers associated with them (for example, an element\u2019s ID in DOM), the matching problem is trivial. However, the SQL syntax trees that we are comparing have neither unique keys nor object identifiers that can be used for the purposes of matching. So, how do we suppose to find pairs of nodes that are related?
\n\nTo better illustrate the problem, consider comparing the following SQL expressions: SELECT a + b + c, d, e
and SELECT a - b + c, e, f
. Matching individual nodes from respective syntax trees can be visualized as follows:
\nFigure 1: Example of node matching for two SQL expression trees.
\n\nBy looking at the figure of node matching for two SQL expression trees above, we conclude that the following changes should be captured by our solution:
\n\nSub
and f
. These are the nodes from the target AST which do not have a matching node in the source AST.Add
and d
. These are the nodes from the source AST which do not have a counterpart in the target AST.It should be clear at this point that if we manage to match nodes in the source tree with their counterparts in the target tree, then computing the diff becomes a trivial matter.
\n\nThe na\u00efve solution would be to try all different permutations of node pair combinations, and see which set of pairs performs the best based on some type of heuristics. The runtime cost of such a solution quickly reaches the escape velocity; if both trees had only 10 nodes each, the number of such sets would approximately be 10! ^ 2 = 3.6M ^ 2 ~= 13 * 10^12. This is a very bad case of factorial complexity (to be precise, it\u2019s actually much worse - O(n! ^ 2) - but I couldn\u2019t come up with a name for it), so there is little need to explore this approach any further.
\n\nAfter the na\u00efve approach was proven to be infeasible, the next question I asked myself was \u201chow does git diff work?\u201d. This question led me to discover the Myers diff algorithm [1]. This algorithm has been designed to compare sequences of strings. At its core, it\u2019s looking for the shortest path on a graph of possible edits that transform the first sequence into the second one, while heavily rewarding those paths that lead to longest subsequences of unchanged elements. There\u2019s a lot of material out there describing this algorithm in greater detail. I found James Coglan\u2019s series of blog posts to be the most comprehensive.
\n\nTherefore, I had this \u201cbrilliant\u201d (actually not) idea to transform trees into sequences by traversing them in topological order, and then applying the Myers algorithm on resulting sequences while using a custom heuristics when checking the equality of two nodes. Unsurprisingly, comparing sequences of strings is quite different from comparing hierarchical tree structures, and by flattening trees into sequences, we lose a lot of relevant context. This resulted in a terrible performance of this algorithm on ASTs. It often matched completely unrelated nodes, even when the two trees were mostly the same, and produced extremely inaccurate lists of changes overall. After playing around with it a little and tweaking my equality heuristics to improve accuracy, I ultimately scrapped the whole implementation and went back to the drawing board.
\n\nThe algorithm I settled on at the end was Change Distiller, created by Fluri et al. [2], which in turn is an improvement over the core idea described by Chawathe et al. [3].
\n\nThe algorithm consists of two high-level steps:
\n\nThe rest of this section is dedicated to the Python implementation of the steps above using the AST implementation provided by the SQLGlot library.
\n\nWe begin composing the matching set by matching the leaf nodes. Leaf nodes are the nodes that do not have any children nodes (such as literals, identifiers, etc.). In order to match them, we gather all the leaf nodes from the source tree and generate a cartesian product with all the leaves from the target tree, while comparing pairs created this way and assigning them a similarity score. During this stage, we also exclude pairs that don\u2019t pass basic matching criteria. Then, we pick pairs that scored the highest while making sure that each node is matched no more than once.
\n\nUsing the example provided at the beginning of the post, the process of building an initial set of candidate matchings can be seen on Figure 2.
\n\n\nFigure 2: Building a set of candidate matchings between leaf nodes. The third item in each triplet represents a similarity score between two nodes.
\n\nFirst, let\u2019s analyze the similarity score. Then, we\u2019ll discuss matching criteria.
\n\nThe similarity score proposed by Fluri et al. [2] is a dice coefficient applied to bigrams of respective node values. A bigram is a sequence of two adjacent elements from a string computed in a sliding window fashion:
\n\ndef bigram(string):\n count = max(0, len(string) - 1)\n return [string[i : i + 2] for i in range(count)]\n
\nFor reasons that will become clear shortly, we actually need to compute bigram histograms rather than just sequences:
\n\nfrom collections import defaultdict\n\ndef bigram_histo(string):\n count = max(0, len(string) - 1)\n bigram_histo = defaultdict(int)\n for i in range(count):\n bigram_histo[string[i : i + 2]] += 1\n return bigram_histo\n
\nThe dice coefficient formula looks like following:
\n\n\n\nWhere X is a bigram of the source node and Y is a bigram of the second one. What this essentially does is count the number of bigram elements the two nodes have in common, multiply it by 2, and then divide by the total number of elements in both bigrams. This is where bigram histograms come in handy:
\n\ndef dice_coefficient(source, target):\n source_histo = bigram_histo(source.sql())\n target_histo = bigram_histo(target.sql())\n\n total_grams = (\n sum(source_histo.values()) + sum(target_histo.values())\n )\n if not total_grams:\n return 1.0 if source == target else 0.0\n\n overlap_len = 0\n overlapping_grams = set(source_histo) & set(target_histo)\n for g in overlapping_grams:\n overlap_len += min(source_histo[g], target_histo[g])\n\n return 2 * overlap_len / total_grams\n
\nTo compute a bigram given a tree node, we first transform the node into its canonical SQL representation,so that the Literal(123)
node becomes just \u201c123\u201d and the Identifier(\u201ca\u201d)
node becomes just \u201ca\u201d. We also handle a scenario when strings are too short to derive bigrams. In this case, we fallback to checking the two nodes for equality.
Now when we know how to compute the similarity score, we can take care of the matching criteria for leaf nodes. In the original paper [2], the matching criteria is formalized as follows:
\n\n\n\nThe two nodes are matched if two conditions are met:
\n\nWith building blocks in place, we can now build a matching set for leaf nodes. First, we generate a list of candidates for matching:
\n\nfrom heapq import heappush, heappop\n\ncandidate_matchings = []\nsource_leaves = _get_leaves(self._source)\ntarget_leaves = _get_leaves(self._target)\nfor source_leaf in source_leaves:\n for target_leaf in target_leaves:\n if _is_same_type(source_leaf, target_leaf):\n similarity_score = dice_coefficient(\n source_leaf, target_leaf\n )\n if similarity_score >= 0.6:\n heappush(\n candidate_matchings,\n (\n -similarity_score,\n len(candidate_matchings),\n source_leaf,\n target_leaf,\n ),\n )\n
\nIn the implementation above, we push each matching pair onto the heap to automatically maintain the correct order based on the assigned similarity score.
\n\nFinally, we build the initial matching set by picking leaf pairs with the highest score:
\n\nmatching_set = set()\nwhile candidate_matchings:\n _, _, source_leaf, target_leaf = heappop(candidate_matchings)\n if (\n source_leaf in unmatched_source_nodes\n and target_leaf in unmatched_target_nodes\n ):\n matching_set.add((source_leaf, target_leaf))\n unmatched_source_nodes.remove(source_leaf)\n unmatched_target_nodes.remove(target_leaf)\n
\nTo finalize the matching set, we should now proceed with matching inner nodes.
\n\nMatching inner nodes is quite similar to matching leaf nodes, with the following two distinctions:
\n\n\nFigure 3: Matching inner nodes based on their type as well as how many of their leaf nodes have been previously matched.
\n\nLet\u2019s start with the matching criteria. The criteria is formalized as follows:
\n\n\n\nAlongside already familiar similarity score and node type criteria, there is a new one in the middle: the ratio of leaf nodes that the two nodes have in common must exceed some threshold \u201ct\u201d. The recommended value for \u201ct\u201d is also 0.6. Counting the number of common leaf nodes is pretty straightforward, since we already have the complete matching set for leaves. All we need to do is count how many matching pairs do leaf nodes from the two compared inner nodes form.
\n\nThere are two additional heuristics associated with this matching criteria:
\n\nWe now only have to iterate through the remaining unmatched nodes and form matching pairs based on the outlined criteria:
\n\nleaves_matching_set = matching_set.copy()\n\nfor source_node in unmatched_source_nodes.copy():\n for target_node in unmatched_target_nodes:\n if _is_same_type(source_node, target_node):\n source_leaves = set(_get_leaves(source_node))\n target_leaves = set(_get_leaves(target_node))\n\n max_leaves_num = max(len(source_leaves), len(target_leaves))\n if max_leaves_num:\n common_leaves_num = sum(\n 1 if s in source_leaves and t in target_leaves else 0\n for s, t in leaves_matching_set\n )\n leaf_similarity_score = common_leaves_num / max_leaves_num\n else:\n leaf_similarity_score = 0.0\n\n adjusted_t = (\n 0.6\n if min(len(source_leaves), len(target_leaves)) > 4\n else 0.4\n )\n\n if leaf_similarity_score >= 0.8 or (\n leaf_similarity_score >= adjusted_t\n and dice_coefficient(source_node, target_node) >= 0.6\n ):\n matching_set.add((source_node, target_node))\n unmatched_source_nodes.remove(source_node)\n unmatched_target_nodes.remove(target_node)\n break\n
\nAfter the matching set is formed, we can proceed with generation of the edit script, which will be the algorithm\u2019s output.
\n\nAt this point, we should have the following 3 sets at our disposal:
\n\nWe can derive 3 kinds of edits from the matching set: either the node\u2019s value was updated (Update), the node was moved to a different position within the tree (Move), or the node remained unchanged (Keep). Note that the Move case is not mutually exclusive with the other two. The node could have been updated or could have remained the same while at the same time its position within its parent node or the parent node itself could have changed. All unmatched nodes from the source tree are the ones that were removed (Remove), while unmatched nodes from the target tree are the ones that were inserted (Insert).
\n\nThe latter two cases are pretty straightforward to implement:
\n\nedit_script = []\n\nfor removed_node in unmatched_source_nodes:\n edit_script.append(Remove(removed_node))\nfor inserted_node in unmatched_target_nodes:\n edit_script.append(Insert(inserted_node))\n
\nTraversing the matching set requires a little more thought:
\n\nfor source_node, target_node in matching_set:\n if (\n not isinstance(source_node, LEAF_EXPRESSION_TYPES)\n or source_node == target_node\n ):\n move_edits = generate_move_edits(\n source_node, target_node, matching_set\n )\n edit_script.extend(move_edits)\n edit_script.append(Keep(source_node, target_node))\n else:\n edit_script.append(Update(source_node, target_node))\n
\nIf a matching pair represents a pair of leaf nodes, we check if they are the same to decide whether an update took place. For inner node pairs, we also need to compare the positions of their respective children to detect node movements. Chawathe et al. [3] suggest applying the longest common subsequence (LCS) algorithm which, no surprise here, was described by Myers himself [1]. There is a small catch, however: instead of checking the equality of two children nodes, we need to check whether the two nodes form a pair that is a part of our matching set.
\n\nNow with this knowledge, the implementation becomes straightforward:
\n\ndef generate_move_edits(source, target, matching_set):\n source_children = _get_child_nodes(source)\n target_children = _get_child_nodes(target)\n\n lcs = set(\n _longest_common_subsequence(\n source_children,\n target_children,\n lambda l, r: (l, r) in matching_set\n )\n )\n\n move_edits = []\n for node in source_children:\n if node not in lcs and node not in unmatched_source_nodes:\n move_edits.append(Move(node))\n\n return move_edits\n
\nI left out the implementation of the LCS algorithm itself here, but there are plenty of implementation choices out there that can be easily looked up.
\n\nThe implemented algorithm produces the output that resembles the following:
\n\n>>> from sqlglot import parse_one, diff\n>>> diff(parse_one("SELECT a + b + c, d, e"), parse_one("SELECT a - b + c, e, f"))\n\nRemove(Add)\nRemove(Column(d))\nRemove(Identifier(d))\nInsert(Sub)\nInsert(Column(f))\nInsert(Identifier(f))\nKeep(Select, Select)\nKeep(Add, Add)\nKeep(Column(a), Column(a))\nKeep(Identifier(a), Identifier(a))\nKeep(Column(b), Column(b))\nKeep(Identifier(b), Identifier(b))\nKeep(Column(c), Column(c))\nKeep(Identifier(c), Identifier(c))\nKeep(Column(e), Column(e))\nKeep(Identifier(e), Identifier(e))\n
\nNote that the output above is abbreviated. The string representation of actual AST nodes is significantly more verbose.
\n\nThe implementation works especially well when coupled with the SQLGlot\u2019s query optimizer which can be used to produce canonical representations of compared queries:
\n\n>>> schema={"t": {"a": "INT", "b": "INT", "c": "INT", "d": "INT"}}\n>>> source = """\n... SELECT 1 + 1 + a\n... FROM t\n... WHERE b = 1 OR (c = 2 AND d = 3)\n... """\n>>> target = """\n... SELECT 2 + a\n... FROM t\n... WHERE (b = 1 OR c = 2) AND (b = 1 OR d = 3)\n... """\n>>> optimized_source = optimize(parse_one(source), schema=schema)\n>>> optimized_target = optimize(parse_one(target), schema=schema)\n>>> edit_script = diff(optimized_source, optimized_target)\n>>> sum(0 if isinstance(e, Keep) else 1 for e in edit_script)\n0\n
\nThe worst case runtime complexity of this algorithm is not exactly stellar: O(n^2 * log n^2). This is because of the leaf matching process, which involves ranking a cartesian product between all leaf nodes of compared trees. Unsurprisingly, the algorithm takes a considerable time to finish for bigger queries.
\n\nThere are still a few basic things we can do in our implementation to help improve performance:
\n\nAt the time of writing only the first two optimizations have been implemented, so there is an opportunity to contribute for anyone who\u2019s interested.
\n\nThis section is dedicated to solutions that I\u2019ve investigated, but haven\u2019t tried.
\n\nFirst, this section wouldn\u2019t be complete without Tristan Hume\u2019s blog post. Tristan\u2019s solution has a lot in common with the Myers algorithm plus heuristics that is much more clever than what I came up with. The implementation relies on a combination of dynamic programming and A* search algorithm to explore the space of possible matchings and pick the best ones. It seemed to have worked well for Tistan\u2019s specific use case, but after my negative experience with the Myers algorithm, I decided to try something different.
\n\nAnother notable approach is the Gumtree algorithm by Falleri et al. [4]. I discovered this paper after I\u2019d already implemented the algorithm that is the main focus of this post. In sections 5.2 and 5.3 of their paper, the authors compare the two algorithms side by side and claim that Gumtree is significantly better in terms of both runtime performance and accuracy when evaluated on 12 792 pairs of Java source files. This doesn\u2019t surprise me, as the algorithm takes the height of subtrees into account. In my tests, I definitely saw scenarios in which this context would have helped. On top of that, the authors promise O(n^2) runtime complexity in the worst case which, given the Change Distiller's O(n^2 * log n^2), looks particularly tempting. I hope to try this algorithm out at some point, and there is a good chance you see me writing about it in my future posts.
\n\nThe Change Distiller algorithm yielded quite satisfactory results in most of my tests. The scenarios in which it fell short mostly concerned identical (or very similar) subtrees located in different parts of the AST. In those cases, node mismatches were frequent and, as a result, edit scripts were somewhat suboptimal.
\n\nAdditionally, the runtime performance of the algorithm leaves a lot to be desired. On trees with 1000 leaf nodes each, the algorithm takes a little under 2 seconds to complete. My implementation still has room for improvement, but this should give you a rough idea of what to expect. It appears that the Gumtree algorithm [4] can help address both of these points. I hope to find bandwidth to work on it soon and then compare the two algorithms side-by-side to find out which one performs better on SQL specifically. In the meantime, Change Distiller definitely gets the job done, and I can now proceed with applying it to some of the use cases I mentioned at the beginning of this post.
\n\nI\u2019m also curious to learn whether other folks in the industry faced a similar problem, and how they approached it. If you did something similar, I\u2019m interested to hear about your experience.
\n\n[1] Eugene W. Myers. An O(ND) Difference Algorithm and Its Variations. Algorithmica 1(2): 251-266 (1986)
\n\n[2] B. Fluri, M. Wursch, M. Pinzger, and H. Gall. Change Distilling: Tree differencing for fine-grained source code change extraction. IEEE Trans. Software Eng., 33(11):725\u2013743, 2007.
\n\n[3] S.S. Chawathe, A. Rajaraman, H. Garcia-Molina, and J. Widom. Change Detection in Hierarchically Structured Information. Proc. ACM Sigmod Int\u2019l Conf. Management of Data, pp. 493-504, June 1996
\n\n[4] Jean-R\u00e9my Falleri, Flor\u00e9al Morandat, Xavier Blanc, Matias Martinez, Martin Monperrus. Fine-grained and Accurate Source Code Differencing. Proceedings of the International Conference on Automated Software Engineering, 2014, V\u00e4steras, Sweden. pp.313-324, 10.1145/2642937.2642982. hal-01054552
\n\nIndicates that a new node has been inserted
\n"}, "sqlglot.diff.Insert.__init__": {"fullname": "sqlglot.diff.Insert.__init__", "modulename": "sqlglot.diff", "qualname": "Insert.__init__", "kind": "function", "doc": "\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Remove": {"fullname": "sqlglot.diff.Remove", "modulename": "sqlglot.diff", "qualname": "Remove", "kind": "class", "doc": "Indicates that an existing node has been removed
\n"}, "sqlglot.diff.Remove.__init__": {"fullname": "sqlglot.diff.Remove.__init__", "modulename": "sqlglot.diff", "qualname": "Remove.__init__", "kind": "function", "doc": "\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Move": {"fullname": "sqlglot.diff.Move", "modulename": "sqlglot.diff", "qualname": "Move", "kind": "class", "doc": "Indicates that an existing node's position within the tree has changed
\n"}, "sqlglot.diff.Move.__init__": {"fullname": "sqlglot.diff.Move.__init__", "modulename": "sqlglot.diff", "qualname": "Move.__init__", "kind": "function", "doc": "\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Update": {"fullname": "sqlglot.diff.Update", "modulename": "sqlglot.diff", "qualname": "Update", "kind": "class", "doc": "Indicates that an existing node has been updated
\n"}, "sqlglot.diff.Update.__init__": {"fullname": "sqlglot.diff.Update.__init__", "modulename": "sqlglot.diff", "qualname": "Update.__init__", "kind": "function", "doc": "\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.Keep": {"fullname": "sqlglot.diff.Keep", "modulename": "sqlglot.diff", "qualname": "Keep", "kind": "class", "doc": "Indicates that an existing node hasn't been changed
\n"}, "sqlglot.diff.Keep.__init__": {"fullname": "sqlglot.diff.Keep.__init__", "modulename": "sqlglot.diff", "qualname": "Keep.__init__", "kind": "function", "doc": "\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.diff": {"fullname": "sqlglot.diff.diff", "modulename": "sqlglot.diff", "qualname": "diff", "kind": "function", "doc": "Returns the list of changes between the source and the target expressions.
\n\n\n\n\n\n\n\n>>> diff(parse_one("a + b"), parse_one("a + c"))\n[\n Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),\n Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),\n Keep(\n source=(ADD this: ...),\n target=(ADD this: ...)\n ),\n Keep(\n source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),\n target=(COLUMN this: (IDENTIFIER this: a, quoted: False))\n ),\n]\n
\n\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None,\t**kwargs: Any) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.diff.ChangeDistiller": {"fullname": "sqlglot.diff.ChangeDistiller", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller", "kind": "class", "doc": "the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the\n target expression trees. This list represents a sequence of steps needed to transform the source\n expression tree into the target one.
\n
The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in\ntheir paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by\nChawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.
\n"}, "sqlglot.diff.ChangeDistiller.__init__": {"fullname": "sqlglot.diff.ChangeDistiller.__init__", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.__init__", "kind": "function", "doc": "\n", "signature": "(f: float = 0.6, t: float = 0.6)"}, "sqlglot.diff.ChangeDistiller.diff": {"fullname": "sqlglot.diff.ChangeDistiller.diff", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.diff", "kind": "function", "doc": "\n", "signature": "(\tself,\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.errors": {"fullname": "sqlglot.errors", "modulename": "sqlglot.errors", "kind": "module", "doc": "\n"}, "sqlglot.errors.ErrorLevel": {"fullname": "sqlglot.errors.ErrorLevel", "modulename": "sqlglot.errors", "qualname": "ErrorLevel", "kind": "class", "doc": "An enumeration.
\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.errors.ErrorLevel.IGNORE": {"fullname": "sqlglot.errors.ErrorLevel.IGNORE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IGNORE", "kind": "variable", "doc": "Ignore all errors.
\n", "default_value": "<ErrorLevel.IGNORE: 'IGNORE'>"}, "sqlglot.errors.ErrorLevel.WARN": {"fullname": "sqlglot.errors.ErrorLevel.WARN", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.WARN", "kind": "variable", "doc": "Log all errors.
\n", "default_value": "<ErrorLevel.WARN: 'WARN'>"}, "sqlglot.errors.ErrorLevel.RAISE": {"fullname": "sqlglot.errors.ErrorLevel.RAISE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.RAISE", "kind": "variable", "doc": "Collect all errors and raise a single exception.
\n", "default_value": "<ErrorLevel.RAISE: 'RAISE'>"}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"fullname": "sqlglot.errors.ErrorLevel.IMMEDIATE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IMMEDIATE", "kind": "variable", "doc": "Immediately raise an exception on the first error found.
\n", "default_value": "<ErrorLevel.IMMEDIATE: 'IMMEDIATE'>"}, "sqlglot.errors.SqlglotError": {"fullname": "sqlglot.errors.SqlglotError", "modulename": "sqlglot.errors", "qualname": "SqlglotError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "builtins.Exception"}, "sqlglot.errors.UnsupportedError": {"fullname": "sqlglot.errors.UnsupportedError", "modulename": "sqlglot.errors", "qualname": "UnsupportedError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError": {"fullname": "sqlglot.errors.ParseError", "modulename": "sqlglot.errors", "qualname": "ParseError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError.__init__": {"fullname": "sqlglot.errors.ParseError.__init__", "modulename": "sqlglot.errors", "qualname": "ParseError.__init__", "kind": "function", "doc": "\n", "signature": "(message: str, errors: Optional[List[Dict[str, Any]]] = None)"}, "sqlglot.errors.ParseError.new": {"fullname": "sqlglot.errors.ParseError.new", "modulename": "sqlglot.errors", "qualname": "ParseError.new", "kind": "function", "doc": "\n", "signature": "(\tcls,\tmessage: str,\tdescription: Optional[str] = None,\tline: Optional[int] = None,\tcol: Optional[int] = None,\tstart_context: Optional[str] = None,\thighlight: Optional[str] = None,\tend_context: Optional[str] = None,\tinto_expression: Optional[str] = None) -> sqlglot.errors.ParseError:", "funcdef": "def"}, "sqlglot.errors.TokenError": {"fullname": "sqlglot.errors.TokenError", "modulename": "sqlglot.errors", "qualname": "TokenError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.OptimizeError": {"fullname": "sqlglot.errors.OptimizeError", "modulename": "sqlglot.errors", "qualname": "OptimizeError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.SchemaError": {"fullname": "sqlglot.errors.SchemaError", "modulename": "sqlglot.errors", "qualname": "SchemaError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.ExecuteError": {"fullname": "sqlglot.errors.ExecuteError", "modulename": "sqlglot.errors", "qualname": "ExecuteError", "kind": "class", "doc": "Common base class for all non-exit exceptions.
\n", "bases": "SqlglotError"}, "sqlglot.errors.concat_messages": {"fullname": "sqlglot.errors.concat_messages", "modulename": "sqlglot.errors", "qualname": "concat_messages", "kind": "function", "doc": "\n", "signature": "(errors: Sequence[Any], maximum: int) -> str:", "funcdef": "def"}, "sqlglot.errors.merge_errors": {"fullname": "sqlglot.errors.merge_errors", "modulename": "sqlglot.errors", "qualname": "merge_errors", "kind": "function", "doc": "\n", "signature": "(errors: Sequence[sqlglot.errors.ParseError]) -> List[Dict[str, Any]]:", "funcdef": "def"}, "sqlglot.executor": {"fullname": "sqlglot.executor", "modulename": "sqlglot.executor", "kind": "module", "doc": "When I first started writing SQLGlot in early 2021, my goal was just to translate SQL queries from SparkSQL to Presto and vice versa. However, over the last year and a half, I've ended up with a full-fledged SQL engine. SQLGlot can now parse and transpile between 18 SQL dialects and can execute all 24 TPC-H SQL queries. The parser and engine are all written from scratch using Python.
\n\nThis post will cover why I went through the effort of creating a Python SQL engine and how a simple query goes from a string to actually transforming data. The following steps are briefly summarized:
\n\nI started working on SQLGlot because of my work on the experimentation and metrics platform at Netflix, where I built tools that allowed data scientists to define and compute SQL-based metrics. Netflix relied on multiple engines to query data (Spark, Presto, and Druid), so my team built the metrics platform around PyPika, a Python SQL query builder. This way, definitions could be reused across multiple engines. However, it became quickly apparent that writing python code to programmatically generate SQL was challenging for data scientists, especially those with academic backgrounds, since they were mostly familiar with R and SQL. At the time, the only Python SQL parser was sqlparse, which is not actually a parser but a tokenizer, so having users write raw SQL into the platform wasn't really an option. Some time later, I randomly stumbled across Crafting Interpreters and realized that I could use it as a guide towards creating my own SQL parser/transpiler.
\n\nWhy did I do this? Isn't a Python SQL engine going to be extremely slow?
\n\nThe main reason why I ended up building a SQL engine was...just for entertainment. It's been fun learning about all the things required to actually run a SQL query, and seeing it actually work is extremely rewarding. Before SQLGlot, I had zero experience with lexers, parsers, or compilers.
\n\nIn terms of practical use cases, I planned to use the Python SQL engine for unit testing SQL pipelines. Big data pipelines are tough to test because many of the engines are not open source and cannot be run locally. With SQLGlot, you can take a SQL query targeting a warehouse such as Snowflake and seamlessly run it in CI on mock Python data. It's easy to mock data and create arbitrary UDFs because everything is just Python. Although the implementation is slow and unsuitable for large amounts of data (> 1 million rows), there's very little overhead/startup and you can run queries on test data in a couple of milliseconds.
\n\nFinally, the components that have been built to support execution can be used as a foundation for a faster engine. I'm inspired by what Apache Calcite has done for the JVM world. Even though Python is commonly used for data, there hasn't been a Calcite for Python. So, you could say that SQLGlot aims to be that framework. For example, it wouldn't take much work to replace the Python execution engine with numpy/pandas/arrow to become a respectably-performing query engine. The implementation would be able to leverage the parser, optimizer, and logical planner, only needing to implement physical execution. There is a lot of work in the Python ecosystem around high performance vectorized computation, which I think could benefit from a pure Python-based AST/plan. Parsing and planning doesn't have to be fast when the bottleneck of running queries is processing terabytes of data. So, having a Python-based ecosystem around SQL is beneficial given the ease of development in Python, despite not having bare metal performance.
\n\nParts of SQLGlot's toolkit are being used today by the following:
\n\nThere are many steps involved with actually running a simple query like:
\n\nSELECT\n bar.a,\n b + 1 AS b\nFROM bar\nJOIN baz\n ON bar.a = baz.a\nWHERE bar.a > 1\n
\nIn this post, I'll walk through all the steps SQLGlot takes to run this query over Python objects.
\n\nThe first step is to convert the sql string into a list of tokens. SQLGlot's tokenizer is quite simple and can be found here. In a while loop, it checks each character and either appends the character to the current token, or makes a new token.
\n\nRunning the SQLGlot tokenizer shows the output.
\n\n\n\nEach keyword has been converted to a SQLGlot Token object. Each token has some metadata associated with it, like line/column information for error messages. Comments are also a part of the token, so that comments can be preserved.
\n\nOnce a SQL statement is tokenized, we don't need to worry about white space and other formatting, so it's easier to work with. We can now convert the list of tokens into an AST. The SQLGlot parser is a handwritten recursive descent parser.
\n\nSimilar to the tokenizer, it consumes the tokens sequentially, but it instead uses a recursive algorithm. The tokens are converted into a single AST node that presents the SQL query. The SQLGlot parser was designed to support various dialects, so it contains many options for overriding parsing functionality.
\n\n\n\nThe AST is a generic representation of a given SQL query. Each dialect can override or implement its own generator, which can convert an AST object into syntatically-correct SQL.
\n\nOnce we have our AST, we can transform it into an equivalent query that produces the same results more efficiently. When optimizing queries, most engines first convert the AST into a logical plan and then optimize the plan. However, I chose to optimize the AST directly for the following reasons:
\n\nIt's easier to debug and validate the optimizations when the input and output are both SQL.
Rules can be applied a la carte to transform SQL into a more desirable form.
I wanted a way to generate 'canonical sql'. Having a canonical representation of SQL is useful for understanding if two queries are semantically equivalent (e.g. SELECT 1 + 1
and SELECT 2
).
I've yet to find another engine that takes this approach, but I'm quite happy with this decision. The optimizer currently does not perform any \"physical optimizations\" such as join reordering. Those are left to the execution layer, as additional statistics and information could become relevant.
\n\n\n\nThe optimizer currently has 17 rules. Each of these rules is applied, transforming the AST in place. The combination of these rules creates \"canonical\" sql that can then be more easily converted into a logical plan and executed.
\n\nSome example rules are:
\n\nSELECT * FROM x;\n\nSELECT "db"."x" AS "x";\n
\nBoolean and math simplification. Check out all the test cases.
\n\n((NOT FALSE) AND (x = x)) AND (TRUE OR 1 <> 3);\nx = x;\n\n1 + 1;\n2;\n
\nAttempts to convert all predicates into conjunctive normal form.
\n\n-- DNF\n(A AND B) OR (B AND C AND D);\n\n-- CNF\n(A OR C) AND (A OR D) AND B;\n
\nConverts subqueries in predicates into joins.
\n\n-- The subquery can be converted into a left join\nSELECT *\nFROM x AS x\nWHERE (\n SELECT y.a AS a\n FROM y AS y\n WHERE x.a = y.a\n) = 1;\n\nSELECT *\nFROM x AS x\nLEFT JOIN (\n SELECT y.a AS a\n FROM y AS y\n WHERE TRUE\n GROUP BY y.a\n) AS "_u_0"\n ON x.a = "_u_0".a\nWHERE ("_u_0".a = 1 AND NOT "_u_0".a IS NULL)\n
\nPush down filters into the innermost query.
\n\nSELECT *\nFROM (\n SELECT *\n FROM x AS x\n) AS y\nWHERE y.a = 1;\n\nSELECT *\nFROM (\n SELECT *\n FROM x AS x\n WHERE y.a = 1\n) AS y WHERE TRUE\n
\nInfer all types throughout the AST given schema information and function type definitions.
\n\nAfter the SQL AST has been \"optimized\", it's much easier to convert into a logical plan. The AST is traversed and converted into a DAG consisting of one of five steps. The different steps are:
\n\nSelects columns from a table, applies projections, and finally filters the table.
\n\nSorts a table for order by expressions.
\n\nApplies the operators union/union all/except/intersect.
\n\nApplies an aggregation/group by.
\n\nJoins multiple tables together.
\n\n\n\nThe logical plan is quite simple and contains the information required to convert it into a physical plan (execution).
\n\nFinally, we can actually execute the SQL query. The Python engine is not fast, but it's very small (~400 LOC)! It iterates the DAG with a queue and runs each step, passing each intermediary table to the next step.
\n\nIn order to keep things simple, it evaluates expressions with eval
. Because SQLGlot was built primarily to be a transpiler, it was simple to create a \"Python SQL\" dialect. So a SQL expression x + 1
can just be converted into scope['x'] + 1
.
SQLGlot's main focus will always be on parsing/transpiling, but I plan to continue development on the execution engine. I'd like to pass TPC-DS. If someone doesn't beat me to it, I may even take a stab at writing a Pandas/Arrow execution engine.
\n\nI'm hoping that over time, SQLGlot will spark the Python SQL ecosystem just like Calcite has for Java.
\n\nSQLGlot would not be what it is without it's core contributors. In particular, the execution engine would not exist without Barak Alon and George Sittas.
\n\nIf you'd like to chat more about SQLGlot, please join my Slack Channel!
\n\nRun a sql query against data.
\n\nSchema
or a mapping in one of the following forms:\n\n\n", "signature": "(\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\ttables: Optional[Dict] = None) -> sqlglot.executor.table.Table:", "funcdef": "def"}, "sqlglot.executor.context": {"fullname": "sqlglot.executor.context", "modulename": "sqlglot.executor.context", "kind": "module", "doc": "\n"}, "sqlglot.executor.context.Context": {"fullname": "sqlglot.executor.context.Context", "modulename": "sqlglot.executor.context", "qualname": "Context", "kind": "class", "doc": "Simple columnar data structure.
\n
Execution context for sql expressions.
\n\nContext is used to hold relevant data tables which can then be queried on with eval.
\n\nReferences to columns can either be scalar or vectors. When set_row is used, column references\nevaluate to scalars while set_range evaluates to vectors. This allows convenient and efficient\nevaluation of aggregation functions.
\n"}, "sqlglot.executor.context.Context.__init__": {"fullname": "sqlglot.executor.context.Context.__init__", "modulename": "sqlglot.executor.context", "qualname": "Context.__init__", "kind": "function", "doc": "Args\n tables: representing the scope of the current execution context.\n env: dictionary of functions within the execution context.
\n", "signature": "(\ttables: Dict[str, sqlglot.executor.table.Table],\tenv: Optional[Dict] = None)"}, "sqlglot.executor.context.Context.eval": {"fullname": "sqlglot.executor.context.Context.eval", "modulename": "sqlglot.executor.context", "qualname": "Context.eval", "kind": "function", "doc": "\n", "signature": "(self, code):", "funcdef": "def"}, "sqlglot.executor.context.Context.eval_tuple": {"fullname": "sqlglot.executor.context.Context.eval_tuple", "modulename": "sqlglot.executor.context", "qualname": "Context.eval_tuple", "kind": "function", "doc": "\n", "signature": "(self, codes):", "funcdef": "def"}, "sqlglot.executor.context.Context.add_columns": {"fullname": "sqlglot.executor.context.Context.add_columns", "modulename": "sqlglot.executor.context", "qualname": "Context.add_columns", "kind": "function", "doc": "\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.table_iter": {"fullname": "sqlglot.executor.context.Context.table_iter", "modulename": "sqlglot.executor.context", "qualname": "Context.table_iter", "kind": "function", "doc": "\n", "signature": "(\tself,\ttable: str) -> Iterator[Tuple[sqlglot.executor.table.TableIter, sqlglot.executor.context.Context]]:", "funcdef": "def"}, "sqlglot.executor.context.Context.filter": {"fullname": "sqlglot.executor.context.Context.filter", "modulename": "sqlglot.executor.context", "qualname": "Context.filter", "kind": "function", "doc": "\n", "signature": "(self, condition) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.sort": {"fullname": "sqlglot.executor.context.Context.sort", "modulename": "sqlglot.executor.context", "qualname": "Context.sort", "kind": "function", "doc": "\n", "signature": "(self, key) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_row": {"fullname": "sqlglot.executor.context.Context.set_row", "modulename": "sqlglot.executor.context", "qualname": "Context.set_row", "kind": "function", "doc": "\n", "signature": "(self, row: Tuple) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_index": {"fullname": "sqlglot.executor.context.Context.set_index", "modulename": "sqlglot.executor.context", "qualname": "Context.set_index", "kind": "function", "doc": "\n", "signature": "(self, index: int) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_range": {"fullname": "sqlglot.executor.context.Context.set_range", "modulename": "sqlglot.executor.context", "qualname": "Context.set_range", "kind": "function", "doc": "\n", "signature": "(self, start: int, end: int) -> None:", "funcdef": "def"}, "sqlglot.executor.env": {"fullname": "sqlglot.executor.env", "modulename": "sqlglot.executor.env", "kind": "module", "doc": "\n"}, "sqlglot.executor.env.reverse_key": {"fullname": "sqlglot.executor.env.reverse_key", "modulename": "sqlglot.executor.env", "qualname": "reverse_key", "kind": "class", "doc": "\n"}, "sqlglot.executor.env.reverse_key.__init__": {"fullname": "sqlglot.executor.env.reverse_key.__init__", "modulename": "sqlglot.executor.env", "qualname": "reverse_key.__init__", "kind": "function", "doc": "\n", "signature": "(obj)"}, "sqlglot.executor.env.filter_nulls": {"fullname": "sqlglot.executor.env.filter_nulls", "modulename": "sqlglot.executor.env", "qualname": "filter_nulls", "kind": "function", "doc": "\n", "signature": "(func, empty_null=True):", "funcdef": "def"}, "sqlglot.executor.env.null_if_any": {"fullname": "sqlglot.executor.env.null_if_any", "modulename": "sqlglot.executor.env", "qualname": "null_if_any", "kind": "function", "doc": "Decorator that makes a function return None
if any of the required
arguments are None
.
This also supports decoration with no arguments, e.g.:
\n\n@null_if_any\ndef foo(a, b): ...\n
\n\nIn which case all arguments are required.
\n", "signature": "(*required):", "funcdef": "def"}, "sqlglot.executor.env.str_position": {"fullname": "sqlglot.executor.env.str_position", "modulename": "sqlglot.executor.env", "qualname": "str_position", "kind": "function", "doc": "\n", "signature": "(substr, this, position=None):", "funcdef": "def"}, "sqlglot.executor.env.substring": {"fullname": "sqlglot.executor.env.substring", "modulename": "sqlglot.executor.env", "qualname": "substring", "kind": "function", "doc": "\n", "signature": "(this, start=None, length=None):", "funcdef": "def"}, "sqlglot.executor.env.cast": {"fullname": "sqlglot.executor.env.cast", "modulename": "sqlglot.executor.env", "qualname": "cast", "kind": "function", "doc": "\n", "signature": "(this, to):", "funcdef": "def"}, "sqlglot.executor.env.ordered": {"fullname": "sqlglot.executor.env.ordered", "modulename": "sqlglot.executor.env", "qualname": "ordered", "kind": "function", "doc": "\n", "signature": "(this, desc, nulls_first):", "funcdef": "def"}, "sqlglot.executor.env.interval": {"fullname": "sqlglot.executor.env.interval", "modulename": "sqlglot.executor.env", "qualname": "interval", "kind": "function", "doc": "\n", "signature": "(this, unit):", "funcdef": "def"}, "sqlglot.executor.python": {"fullname": "sqlglot.executor.python", "modulename": "sqlglot.executor.python", "kind": "module", "doc": "\n"}, "sqlglot.executor.python.PythonExecutor": {"fullname": "sqlglot.executor.python.PythonExecutor", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor", "kind": "class", "doc": "\n"}, "sqlglot.executor.python.PythonExecutor.__init__": {"fullname": "sqlglot.executor.python.PythonExecutor.__init__", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.__init__", "kind": "function", "doc": "\n", "signature": "(env=None, tables=None)"}, "sqlglot.executor.python.PythonExecutor.execute": {"fullname": "sqlglot.executor.python.PythonExecutor.execute", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.execute", "kind": "function", "doc": "\n", "signature": "(self, plan):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate": {"fullname": "sqlglot.executor.python.PythonExecutor.generate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate", "kind": "function", "doc": "Convert a SQL expression into literal Python code and compile it into bytecode.
\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"fullname": "sqlglot.executor.python.PythonExecutor.generate_tuple", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate_tuple", "kind": "function", "doc": "Convert an array of SQL expressions into tuple of Python byte code.
\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.context": {"fullname": "sqlglot.executor.python.PythonExecutor.context", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.context", "kind": "function", "doc": "\n", "signature": "(self, tables):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.table": {"fullname": "sqlglot.executor.python.PythonExecutor.table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.table", "kind": "function", "doc": "\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan": {"fullname": "sqlglot.executor.python.PythonExecutor.scan", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.static": {"fullname": "sqlglot.executor.python.PythonExecutor.static", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.static", "kind": "function", "doc": "\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_table": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_table", "kind": "function", "doc": "\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_csv", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_csv", "kind": "function", "doc": "\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.join": {"fullname": "sqlglot.executor.python.PythonExecutor.join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.join", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"fullname": "sqlglot.executor.python.PythonExecutor.nested_loop_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.nested_loop_join", "kind": "function", "doc": "\n", "signature": "(self, _join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.hash_join": {"fullname": "sqlglot.executor.python.PythonExecutor.hash_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.hash_join", "kind": "function", "doc": "\n", "signature": "(self, join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.aggregate": {"fullname": "sqlglot.executor.python.PythonExecutor.aggregate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.aggregate", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.sort": {"fullname": "sqlglot.executor.python.PythonExecutor.sort", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.sort", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.set_operation": {"fullname": "sqlglot.executor.python.PythonExecutor.set_operation", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.set_operation", "kind": "function", "doc": "\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.Python": {"fullname": "sqlglot.executor.python.Python", "modulename": "sqlglot.executor.python", "qualname": "Python", "kind": "class", "doc": "\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.executor.python.Python.Tokenizer": {"fullname": "sqlglot.executor.python.Python.Tokenizer", "modulename": "sqlglot.executor.python", "qualname": "Python.Tokenizer", "kind": "class", "doc": "\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.executor.python.Python.Generator": {"fullname": "sqlglot.executor.python.Python.Generator", "modulename": "sqlglot.executor.python", "qualname": "Python.Generator", "kind": "class", "doc": "Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nAbstract base class for generic types.
\n\nA generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::
\n\nclass Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.
\n\nThis class can then be used as follows::
\n\ndef lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default
\n", "bases": "sqlglot.schema.AbstractMappingSchema[sqlglot.executor.table.Table]"}, "sqlglot.executor.table.ensure_tables": {"fullname": "sqlglot.executor.table.ensure_tables", "modulename": "sqlglot.executor.table", "qualname": "ensure_tables", "kind": "function", "doc": "\n", "signature": "(d: Optional[Dict]) -> sqlglot.executor.table.Tables:", "funcdef": "def"}, "sqlglot.expressions": {"fullname": "sqlglot.expressions", "modulename": "sqlglot.expressions", "kind": "module", "doc": "Every AST node in SQLGlot is represented by a subclass of Expression
.
This module contains the implementation of all supported Expression
types. Additionally,\nit exposes a number of helper functions, which are mainly used to programmatically build\nSQL expressions, such as sqlglot.expressions.select
.
The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary\ncontext, such as its child expressions, their names (arg keys), and whether a given child expression\nis optional or not.
\n\n\n\n\n\n\n \n\n>>> class Foo(Expression):\n... arg_types = {"this": True, "expression": False}\n
The above definition informs us that Foo is an Expression that requires an argument called\n \"this\" and may also optionally receive an argument called \"expression\".
\n
sqlglot.expressions.DataType
type of an expression. This is inferred by the\noptimizer, in order to enable some transformations that require type information.Retrieves the argument with key \"this\".
\n"}, "sqlglot.expressions.Expression.expression": {"fullname": "sqlglot.expressions.Expression.expression", "modulename": "sqlglot.expressions", "qualname": "Expression.expression", "kind": "variable", "doc": "Retrieves the argument with key \"expression\".
\n"}, "sqlglot.expressions.Expression.expressions": {"fullname": "sqlglot.expressions.Expression.expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.expressions", "kind": "variable", "doc": "Retrieves the argument with key \"expressions\".
\n"}, "sqlglot.expressions.Expression.text": {"fullname": "sqlglot.expressions.Expression.text", "modulename": "sqlglot.expressions", "qualname": "Expression.text", "kind": "function", "doc": "Returns a textual representation of the argument corresponding to \"key\". This can only be used\nfor args that are strings or leaf Expression instances, such as identifiers and literals.
\n", "signature": "(self, key) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.is_string": {"fullname": "sqlglot.expressions.Expression.is_string", "modulename": "sqlglot.expressions", "qualname": "Expression.is_string", "kind": "variable", "doc": "Checks whether a Literal expression is a string.
\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_number": {"fullname": "sqlglot.expressions.Expression.is_number", "modulename": "sqlglot.expressions", "qualname": "Expression.is_number", "kind": "variable", "doc": "Checks whether a Literal expression is a number.
\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_int": {"fullname": "sqlglot.expressions.Expression.is_int", "modulename": "sqlglot.expressions", "qualname": "Expression.is_int", "kind": "variable", "doc": "Checks whether a Literal expression is an integer.
\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_star": {"fullname": "sqlglot.expressions.Expression.is_star", "modulename": "sqlglot.expressions", "qualname": "Expression.is_star", "kind": "variable", "doc": "Checks whether an expression is a star.
\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.alias": {"fullname": "sqlglot.expressions.Expression.alias", "modulename": "sqlglot.expressions", "qualname": "Expression.alias", "kind": "variable", "doc": "Returns the alias of the expression, or an empty string if it's not aliased.
\n", "annotation": ": str"}, "sqlglot.expressions.Expression.output_name": {"fullname": "sqlglot.expressions.Expression.output_name", "modulename": "sqlglot.expressions", "qualname": "Expression.output_name", "kind": "variable", "doc": "Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Expression.copy": {"fullname": "sqlglot.expressions.Expression.copy", "modulename": "sqlglot.expressions", "qualname": "Expression.copy", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Returns a deep copy of the expression.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.append": {"fullname": "sqlglot.expressions.Expression.append", "modulename": "sqlglot.expressions", "qualname": "Expression.append", "kind": "function", "doc": "Appends value to arg_key if it's a list or sets it as a new list.
\n\nSets arg_key
to value
.
Returns the depth of this tree.
\n"}, "sqlglot.expressions.Expression.iter_expressions": {"fullname": "sqlglot.expressions.Expression.iter_expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.iter_expressions", "kind": "function", "doc": "Yields the key and expression for all arguments, exploding list args.
\n", "signature": "(self) -> Iterator[Tuple[str, sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find": {"fullname": "sqlglot.expressions.Expression.find", "modulename": "sqlglot.expressions", "qualname": "Expression.find", "kind": "function", "doc": "Returns the first node in this tree which matches at least one of\nthe specified types.
\n\n\n\n", "signature": "(self, *expression_types: Type[~E], bfs=True) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_all": {"fullname": "sqlglot.expressions.Expression.find_all", "modulename": "sqlglot.expressions", "qualname": "Expression.find_all", "kind": "function", "doc": "The node which matches the criteria or None if no such node was found.
\n
Returns a generator object which visits all nodes in this tree and only\nyields those that match at least one of the specified expression types.
\n\n\n\n", "signature": "(self, *expression_types: Type[~E], bfs=True) -> Iterator[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_ancestor": {"fullname": "sqlglot.expressions.Expression.find_ancestor", "modulename": "sqlglot.expressions", "qualname": "Expression.find_ancestor", "kind": "function", "doc": "The generator object.
\n
Returns a nearest parent matching expression_types.
\n\n\n\n", "signature": "(self, *expression_types: Type[~E]) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.parent_select": {"fullname": "sqlglot.expressions.Expression.parent_select", "modulename": "sqlglot.expressions", "qualname": "Expression.parent_select", "kind": "variable", "doc": "The parent node.
\n
Returns the parent select statement.
\n"}, "sqlglot.expressions.Expression.same_parent": {"fullname": "sqlglot.expressions.Expression.same_parent", "modulename": "sqlglot.expressions", "qualname": "Expression.same_parent", "kind": "variable", "doc": "Returns if the parent is the same class as itself.
\n"}, "sqlglot.expressions.Expression.root": {"fullname": "sqlglot.expressions.Expression.root", "modulename": "sqlglot.expressions", "qualname": "Expression.root", "kind": "function", "doc": "Returns the root expression of this tree.
\n", "signature": "(self) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.Expression.walk": {"fullname": "sqlglot.expressions.Expression.walk", "modulename": "sqlglot.expressions", "qualname": "Expression.walk", "kind": "function", "doc": "Returns a generator object which visits all nodes in this tree.
\n\n\n\n", "signature": "(self, bfs=True, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.dfs": {"fullname": "sqlglot.expressions.Expression.dfs", "modulename": "sqlglot.expressions", "qualname": "Expression.dfs", "kind": "function", "doc": "the generator object.
\n
Returns a generator object which visits all nodes in this tree in\nthe DFS (Depth-first) order.
\n\n\n\n", "signature": "(self, parent=None, key=None, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.bfs": {"fullname": "sqlglot.expressions.Expression.bfs", "modulename": "sqlglot.expressions", "qualname": "Expression.bfs", "kind": "function", "doc": "The generator object.
\n
Returns a generator object which visits all nodes in this tree in\nthe BFS (Breadth-first) order.
\n\n\n\n", "signature": "(self, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest": {"fullname": "sqlglot.expressions.Expression.unnest", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest", "kind": "function", "doc": "The generator object.
\n
Returns the first non parenthesis child or self.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unalias": {"fullname": "sqlglot.expressions.Expression.unalias", "modulename": "sqlglot.expressions", "qualname": "Expression.unalias", "kind": "function", "doc": "Returns the inner expression if this is an Alias.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest_operands": {"fullname": "sqlglot.expressions.Expression.unnest_operands", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest_operands", "kind": "function", "doc": "Returns unnested operands as a tuple.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.flatten": {"fullname": "sqlglot.expressions.Expression.flatten", "modulename": "sqlglot.expressions", "qualname": "Expression.flatten", "kind": "function", "doc": "Returns a generator which yields child nodes who's parents are the same class.
\n\nA AND B AND C -> [A, B, C]
\n", "signature": "(self, unnest=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.sql": {"fullname": "sqlglot.expressions.Expression.sql", "modulename": "sqlglot.expressions", "qualname": "Expression.sql", "kind": "function", "doc": "Returns SQL string representation of this tree.
\n\nsqlglot.generator.Generator
options.\n\n", "signature": "(\tself,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.transform": {"fullname": "sqlglot.expressions.Expression.transform", "modulename": "sqlglot.expressions", "qualname": "Expression.transform", "kind": "function", "doc": "The SQL string.
\n
Recursively visits all tree nodes (excluding already transformed ones)\nand applies the given transformation function to each node.
\n\n\n\n", "signature": "(self, fun, *args, copy=True, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.Expression.replace": {"fullname": "sqlglot.expressions.Expression.replace", "modulename": "sqlglot.expressions", "qualname": "Expression.replace", "kind": "function", "doc": "The transformed tree.
\n
Swap out this expression with a new expression.
\n\nFor example::
\n\n>>> tree = Select().select(\"x\").from_(\"tbl\")\n>>> tree.find(Column).replace(Column(this=\"y\"))\n(COLUMN this: y)\n>>> tree.sql()\n'SELECT y FROM tbl'\n
\n\n\n\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.expressions.Expression.pop": {"fullname": "sqlglot.expressions.Expression.pop", "modulename": "sqlglot.expressions", "qualname": "Expression.pop", "kind": "function", "doc": "The new expression or expressions.
\n
Remove this expression from its AST.
\n\n\n\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.assert_is": {"fullname": "sqlglot.expressions.Expression.assert_is", "modulename": "sqlglot.expressions", "qualname": "Expression.assert_is", "kind": "function", "doc": "The popped expression.
\n
Assert that this Expression
is an instance of type_
.
If it is NOT an instance of type_
, this raises an assertion error.\nOtherwise, this returns this expression.
\n\n", "signature": "(self, type_):", "funcdef": "def"}, "sqlglot.expressions.Expression.error_messages": {"fullname": "sqlglot.expressions.Expression.error_messages", "modulename": "sqlglot.expressions", "qualname": "Expression.error_messages", "kind": "function", "doc": "This is useful for type security in chained expressions:
\n \n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()\n'SELECT x, z FROM y'\n
Checks if this expression is valid (e.g. all mandatory args are set).
\n\n\n\n", "signature": "(self, args: Optional[Sequence] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.Expression.dump": {"fullname": "sqlglot.expressions.Expression.dump", "modulename": "sqlglot.expressions", "qualname": "Expression.dump", "kind": "function", "doc": "A list of error messages for all possible errors that were found.
\n
Dump this Expression to a JSON-serializable dict.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.load": {"fullname": "sqlglot.expressions.Expression.load", "modulename": "sqlglot.expressions", "qualname": "Expression.load", "kind": "function", "doc": "Load a dict (as returned by Expression.dump
) into an Expression instance.
AND this condition with one or multiple expressions.
\n\n\n\n\n\n\n\n>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, *expressions, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.or_": {"fullname": "sqlglot.expressions.Condition.or_", "modulename": "sqlglot.expressions", "qualname": "Condition.or_", "kind": "function", "doc": "And: the new condition.
\n
OR this condition with one or multiple expressions.
\n\n\n\n\n\n\n\n>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, *expressions, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.not_": {"fullname": "sqlglot.expressions.Condition.not_", "modulename": "sqlglot.expressions", "qualname": "Condition.not_", "kind": "function", "doc": "Or: the new condition.
\n
Wrap this condition with NOT.
\n\n\n\n\n\n\n\n>>> condition("x=1").not_().sql()\n'NOT x = 1'\n
\n\n", "signature": "(self, copy=True):", "funcdef": "def"}, "sqlglot.expressions.Condition.isin": {"fullname": "sqlglot.expressions.Condition.isin", "modulename": "sqlglot.expressions", "qualname": "Condition.isin", "kind": "function", "doc": "\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy=True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Condition.between": {"fullname": "sqlglot.expressions.Condition.between", "modulename": "sqlglot.expressions", "qualname": "Condition.between", "kind": "function", "doc": "\n", "signature": "(\tself,\tlow: Any,\thigh: Any,\tcopy=True,\t**opts) -> sqlglot.expressions.Between:", "funcdef": "def"}, "sqlglot.expressions.Condition.like": {"fullname": "sqlglot.expressions.Condition.like", "modulename": "sqlglot.expressions", "qualname": "Condition.like", "kind": "function", "doc": "\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Like:", "funcdef": "def"}, "sqlglot.expressions.Condition.ilike": {"fullname": "sqlglot.expressions.Condition.ilike", "modulename": "sqlglot.expressions", "qualname": "Condition.ilike", "kind": "function", "doc": "\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.ILike:", "funcdef": "def"}, "sqlglot.expressions.Condition.eq": {"fullname": "sqlglot.expressions.Condition.eq", "modulename": "sqlglot.expressions", "qualname": "Condition.eq", "kind": "function", "doc": "\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.EQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.neq": {"fullname": "sqlglot.expressions.Condition.neq", "modulename": "sqlglot.expressions", "qualname": "Condition.neq", "kind": "function", "doc": "\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.NEQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.rlike": {"fullname": "sqlglot.expressions.Condition.rlike", "modulename": "sqlglot.expressions", "qualname": "Condition.rlike", "kind": "function", "doc": "\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.RegexpLike:", "funcdef": "def"}, "sqlglot.expressions.Predicate": {"fullname": "sqlglot.expressions.Predicate", "modulename": "sqlglot.expressions", "qualname": "Predicate", "kind": "class", "doc": "Not: the new condition.
\n
Relationships like x = y, x > 1, x >= y.
\n", "bases": "Condition"}, "sqlglot.expressions.DerivedTable": {"fullname": "sqlglot.expressions.DerivedTable", "modulename": "sqlglot.expressions", "qualname": "DerivedTable", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Unionable": {"fullname": "sqlglot.expressions.Unionable", "modulename": "sqlglot.expressions", "qualname": "Unionable", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Unionable.union": {"fullname": "sqlglot.expressions.Unionable.union", "modulename": "sqlglot.expressions", "qualname": "Unionable.union", "kind": "function", "doc": "Builds a UNION expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.intersect": {"fullname": "sqlglot.expressions.Unionable.intersect", "modulename": "sqlglot.expressions", "qualname": "Unionable.intersect", "kind": "function", "doc": "Union: the Union expression.
\n
Builds an INTERSECT expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.except_": {"fullname": "sqlglot.expressions.Unionable.except_", "modulename": "sqlglot.expressions", "qualname": "Unionable.except_", "kind": "function", "doc": "Intersect: the Intersect expression
\n
Builds an EXCEPT expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.\n\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.UDTF": {"fullname": "sqlglot.expressions.UDTF", "modulename": "sqlglot.expressions", "qualname": "UDTF", "kind": "class", "doc": "\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Cache": {"fullname": "sqlglot.expressions.Cache", "modulename": "sqlglot.expressions", "qualname": "Cache", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Uncache": {"fullname": "sqlglot.expressions.Uncache", "modulename": "sqlglot.expressions", "qualname": "Uncache", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Create": {"fullname": "sqlglot.expressions.Create", "modulename": "sqlglot.expressions", "qualname": "Create", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Describe": {"fullname": "sqlglot.expressions.Describe", "modulename": "sqlglot.expressions", "qualname": "Describe", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Pragma": {"fullname": "sqlglot.expressions.Pragma", "modulename": "sqlglot.expressions", "qualname": "Pragma", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Set": {"fullname": "sqlglot.expressions.Set", "modulename": "sqlglot.expressions", "qualname": "Set", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SetItem": {"fullname": "sqlglot.expressions.SetItem", "modulename": "sqlglot.expressions", "qualname": "SetItem", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Show": {"fullname": "sqlglot.expressions.Show", "modulename": "sqlglot.expressions", "qualname": "Show", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.UserDefinedFunction": {"fullname": "sqlglot.expressions.UserDefinedFunction", "modulename": "sqlglot.expressions", "qualname": "UserDefinedFunction", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.CharacterSet": {"fullname": "sqlglot.expressions.CharacterSet", "modulename": "sqlglot.expressions", "qualname": "CharacterSet", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.With": {"fullname": "sqlglot.expressions.With", "modulename": "sqlglot.expressions", "qualname": "With", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.WithinGroup": {"fullname": "sqlglot.expressions.WithinGroup", "modulename": "sqlglot.expressions", "qualname": "WithinGroup", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.CTE": {"fullname": "sqlglot.expressions.CTE", "modulename": "sqlglot.expressions", "qualname": "CTE", "kind": "class", "doc": "\n", "bases": "DerivedTable"}, "sqlglot.expressions.TableAlias": {"fullname": "sqlglot.expressions.TableAlias", "modulename": "sqlglot.expressions", "qualname": "TableAlias", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.BitString": {"fullname": "sqlglot.expressions.BitString", "modulename": "sqlglot.expressions", "qualname": "BitString", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.HexString": {"fullname": "sqlglot.expressions.HexString", "modulename": "sqlglot.expressions", "qualname": "HexString", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.ByteString": {"fullname": "sqlglot.expressions.ByteString", "modulename": "sqlglot.expressions", "qualname": "ByteString", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Column": {"fullname": "sqlglot.expressions.Column", "modulename": "sqlglot.expressions", "qualname": "Column", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Column.output_name": {"fullname": "sqlglot.expressions.Column.output_name", "modulename": "sqlglot.expressions", "qualname": "Column.output_name", "kind": "variable", "doc": "Except: the Except expression
\n
Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n", "annotation": ": str"}, "sqlglot.expressions.Column.parts": {"fullname": "sqlglot.expressions.Column.parts", "modulename": "sqlglot.expressions", "qualname": "Column.parts", "kind": "variable", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Return the parts of a column in order catalog, db, table, name.
\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.Column.to_dot": {"fullname": "sqlglot.expressions.Column.to_dot", "modulename": "sqlglot.expressions", "qualname": "Column.to_dot", "kind": "function", "doc": "Converts the column into a dot expression.
\n", "signature": "(self) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.ColumnPosition": {"fullname": "sqlglot.expressions.ColumnPosition", "modulename": "sqlglot.expressions", "qualname": "ColumnPosition", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.ColumnDef": {"fullname": "sqlglot.expressions.ColumnDef", "modulename": "sqlglot.expressions", "qualname": "ColumnDef", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AlterColumn": {"fullname": "sqlglot.expressions.AlterColumn", "modulename": "sqlglot.expressions", "qualname": "AlterColumn", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.RenameTable": {"fullname": "sqlglot.expressions.RenameTable", "modulename": "sqlglot.expressions", "qualname": "RenameTable", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SetTag": {"fullname": "sqlglot.expressions.SetTag", "modulename": "sqlglot.expressions", "qualname": "SetTag", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Comment": {"fullname": "sqlglot.expressions.Comment", "modulename": "sqlglot.expressions", "qualname": "Comment", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraint": {"fullname": "sqlglot.expressions.ColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraintKind": {"fullname": "sqlglot.expressions.ColumnConstraintKind", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraintKind", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"fullname": "sqlglot.expressions.AutoIncrementColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"fullname": "sqlglot.expressions.CaseSpecificColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CaseSpecificColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CharacterSetColumnConstraint": {"fullname": "sqlglot.expressions.CharacterSetColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CharacterSetColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CheckColumnConstraint": {"fullname": "sqlglot.expressions.CheckColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CheckColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CollateColumnConstraint": {"fullname": "sqlglot.expressions.CollateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CollateColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CommentColumnConstraint": {"fullname": "sqlglot.expressions.CommentColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CommentColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CompressColumnConstraint": {"fullname": "sqlglot.expressions.CompressColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CompressColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DateFormatColumnConstraint": {"fullname": "sqlglot.expressions.DateFormatColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DateFormatColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DefaultColumnConstraint": {"fullname": "sqlglot.expressions.DefaultColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DefaultColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.EncodeColumnConstraint": {"fullname": "sqlglot.expressions.EncodeColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "EncodeColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"fullname": "sqlglot.expressions.GeneratedAsIdentityColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "GeneratedAsIdentityColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.InlineLengthColumnConstraint": {"fullname": "sqlglot.expressions.InlineLengthColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "InlineLengthColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.NotNullColumnConstraint": {"fullname": "sqlglot.expressions.NotNullColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "NotNullColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.OnUpdateColumnConstraint": {"fullname": "sqlglot.expressions.OnUpdateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "OnUpdateColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"fullname": "sqlglot.expressions.PrimaryKeyColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PrimaryKeyColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.TitleColumnConstraint": {"fullname": "sqlglot.expressions.TitleColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "TitleColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UniqueColumnConstraint": {"fullname": "sqlglot.expressions.UniqueColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UniqueColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UppercaseColumnConstraint": {"fullname": "sqlglot.expressions.UppercaseColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UppercaseColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PathColumnConstraint": {"fullname": "sqlglot.expressions.PathColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PathColumnConstraint", "kind": "class", "doc": "\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.Constraint": {"fullname": "sqlglot.expressions.Constraint", "modulename": "sqlglot.expressions", "qualname": "Constraint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Delete": {"fullname": "sqlglot.expressions.Delete", "modulename": "sqlglot.expressions", "qualname": "Delete", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Delete.delete": {"fullname": "sqlglot.expressions.Delete.delete", "modulename": "sqlglot.expressions", "qualname": "Delete.delete", "kind": "function", "doc": "Create a DELETE expression or replace the table on an existing DELETE expression.
\n\n\n\n\n\n\n\n>>> delete("tbl").sql()\n'DELETE FROM tbl'\n
False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\ttable: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.where": {"fullname": "sqlglot.expressions.Delete.where", "modulename": "sqlglot.expressions", "qualname": "Delete.where", "kind": "function", "doc": "Delete: the modified expression.
\n
Append to or set the WHERE expressions.
\n\n\n\n\n\n\n\n>>> delete("tbl").where("x = 'a' OR x < 'b'").sql()\n"DELETE FROM tbl WHERE x = 'a' OR x < 'b'"\n
Expression
instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.True
, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.returning": {"fullname": "sqlglot.expressions.Delete.returning", "modulename": "sqlglot.expressions", "qualname": "Delete.returning", "kind": "function", "doc": "Delete: the modified expression.
\n
Set the RETURNING expression. Not supported by all dialects.
\n\n\n\n\n\n\n\n>>> delete("tbl").returning("*", dialect="postgres").sql()\n'DELETE FROM tbl RETURNING *'\n
Expression
instance is passed, it will be used as-is.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Drop": {"fullname": "sqlglot.expressions.Drop", "modulename": "sqlglot.expressions", "qualname": "Drop", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Filter": {"fullname": "sqlglot.expressions.Filter", "modulename": "sqlglot.expressions", "qualname": "Filter", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Check": {"fullname": "sqlglot.expressions.Check", "modulename": "sqlglot.expressions", "qualname": "Check", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Directory": {"fullname": "sqlglot.expressions.Directory", "modulename": "sqlglot.expressions", "qualname": "Directory", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.ForeignKey": {"fullname": "sqlglot.expressions.ForeignKey", "modulename": "sqlglot.expressions", "qualname": "ForeignKey", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.PrimaryKey": {"fullname": "sqlglot.expressions.PrimaryKey", "modulename": "sqlglot.expressions", "qualname": "PrimaryKey", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Unique": {"fullname": "sqlglot.expressions.Unique", "modulename": "sqlglot.expressions", "qualname": "Unique", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Into": {"fullname": "sqlglot.expressions.Into", "modulename": "sqlglot.expressions", "qualname": "Into", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.From": {"fullname": "sqlglot.expressions.From", "modulename": "sqlglot.expressions", "qualname": "From", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Having": {"fullname": "sqlglot.expressions.Having", "modulename": "sqlglot.expressions", "qualname": "Having", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Hint": {"fullname": "sqlglot.expressions.Hint", "modulename": "sqlglot.expressions", "qualname": "Hint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.JoinHint": {"fullname": "sqlglot.expressions.JoinHint", "modulename": "sqlglot.expressions", "qualname": "JoinHint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Identifier": {"fullname": "sqlglot.expressions.Identifier", "modulename": "sqlglot.expressions", "qualname": "Identifier", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Identifier.output_name": {"fullname": "sqlglot.expressions.Identifier.output_name", "modulename": "sqlglot.expressions", "qualname": "Identifier.output_name", "kind": "variable", "doc": "Delete: the modified expression.
\n
Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Index": {"fullname": "sqlglot.expressions.Index", "modulename": "sqlglot.expressions", "qualname": "Index", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Insert": {"fullname": "sqlglot.expressions.Insert", "modulename": "sqlglot.expressions", "qualname": "Insert", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.OnConflict": {"fullname": "sqlglot.expressions.OnConflict", "modulename": "sqlglot.expressions", "qualname": "OnConflict", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Returning": {"fullname": "sqlglot.expressions.Returning", "modulename": "sqlglot.expressions", "qualname": "Returning", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Introducer": {"fullname": "sqlglot.expressions.Introducer", "modulename": "sqlglot.expressions", "qualname": "Introducer", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.National": {"fullname": "sqlglot.expressions.National", "modulename": "sqlglot.expressions", "qualname": "National", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.LoadData": {"fullname": "sqlglot.expressions.LoadData", "modulename": "sqlglot.expressions", "qualname": "LoadData", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Partition": {"fullname": "sqlglot.expressions.Partition", "modulename": "sqlglot.expressions", "qualname": "Partition", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Fetch": {"fullname": "sqlglot.expressions.Fetch", "modulename": "sqlglot.expressions", "qualname": "Fetch", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Group": {"fullname": "sqlglot.expressions.Group", "modulename": "sqlglot.expressions", "qualname": "Group", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Lambda": {"fullname": "sqlglot.expressions.Lambda", "modulename": "sqlglot.expressions", "qualname": "Lambda", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Limit": {"fullname": "sqlglot.expressions.Limit", "modulename": "sqlglot.expressions", "qualname": "Limit", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Literal": {"fullname": "sqlglot.expressions.Literal", "modulename": "sqlglot.expressions", "qualname": "Literal", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Literal.number": {"fullname": "sqlglot.expressions.Literal.number", "modulename": "sqlglot.expressions", "qualname": "Literal.number", "kind": "function", "doc": "\n", "signature": "(cls, number) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.string": {"fullname": "sqlglot.expressions.Literal.string", "modulename": "sqlglot.expressions", "qualname": "Literal.string", "kind": "function", "doc": "\n", "signature": "(cls, string) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.output_name": {"fullname": "sqlglot.expressions.Literal.output_name", "modulename": "sqlglot.expressions", "qualname": "Literal.output_name", "kind": "variable", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Join": {"fullname": "sqlglot.expressions.Join", "modulename": "sqlglot.expressions", "qualname": "Join", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Join.on": {"fullname": "sqlglot.expressions.Join.on", "modulename": "sqlglot.expressions", "qualname": "Join.on", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Append to or set the ON expressions.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n
Expression
instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.True
, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Join.using": {"fullname": "sqlglot.expressions.Join.using", "modulename": "sqlglot.expressions", "qualname": "Join.using", "kind": "function", "doc": "Join: the modified join expression.
\n
Append to or set the USING expressions.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n
Expression
instance is passed, it will be used as-is.True
, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Lateral": {"fullname": "sqlglot.expressions.Lateral", "modulename": "sqlglot.expressions", "qualname": "Lateral", "kind": "class", "doc": "\n", "bases": "UDTF"}, "sqlglot.expressions.MatchRecognize": {"fullname": "sqlglot.expressions.MatchRecognize", "modulename": "sqlglot.expressions", "qualname": "MatchRecognize", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Final": {"fullname": "sqlglot.expressions.Final", "modulename": "sqlglot.expressions", "qualname": "Final", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Offset": {"fullname": "sqlglot.expressions.Offset", "modulename": "sqlglot.expressions", "qualname": "Offset", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Order": {"fullname": "sqlglot.expressions.Order", "modulename": "sqlglot.expressions", "qualname": "Order", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Cluster": {"fullname": "sqlglot.expressions.Cluster", "modulename": "sqlglot.expressions", "qualname": "Cluster", "kind": "class", "doc": "\n", "bases": "Order"}, "sqlglot.expressions.Distribute": {"fullname": "sqlglot.expressions.Distribute", "modulename": "sqlglot.expressions", "qualname": "Distribute", "kind": "class", "doc": "\n", "bases": "Order"}, "sqlglot.expressions.Sort": {"fullname": "sqlglot.expressions.Sort", "modulename": "sqlglot.expressions", "qualname": "Sort", "kind": "class", "doc": "\n", "bases": "Order"}, "sqlglot.expressions.Ordered": {"fullname": "sqlglot.expressions.Ordered", "modulename": "sqlglot.expressions", "qualname": "Ordered", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Property": {"fullname": "sqlglot.expressions.Property", "modulename": "sqlglot.expressions", "qualname": "Property", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AfterJournalProperty": {"fullname": "sqlglot.expressions.AfterJournalProperty", "modulename": "sqlglot.expressions", "qualname": "AfterJournalProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.AlgorithmProperty": {"fullname": "sqlglot.expressions.AlgorithmProperty", "modulename": "sqlglot.expressions", "qualname": "AlgorithmProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.AutoIncrementProperty": {"fullname": "sqlglot.expressions.AutoIncrementProperty", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.BlockCompressionProperty": {"fullname": "sqlglot.expressions.BlockCompressionProperty", "modulename": "sqlglot.expressions", "qualname": "BlockCompressionProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.CharacterSetProperty": {"fullname": "sqlglot.expressions.CharacterSetProperty", "modulename": "sqlglot.expressions", "qualname": "CharacterSetProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.ChecksumProperty": {"fullname": "sqlglot.expressions.ChecksumProperty", "modulename": "sqlglot.expressions", "qualname": "ChecksumProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.CollateProperty": {"fullname": "sqlglot.expressions.CollateProperty", "modulename": "sqlglot.expressions", "qualname": "CollateProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.DataBlocksizeProperty": {"fullname": "sqlglot.expressions.DataBlocksizeProperty", "modulename": "sqlglot.expressions", "qualname": "DataBlocksizeProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.DefinerProperty": {"fullname": "sqlglot.expressions.DefinerProperty", "modulename": "sqlglot.expressions", "qualname": "DefinerProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.DistKeyProperty": {"fullname": "sqlglot.expressions.DistKeyProperty", "modulename": "sqlglot.expressions", "qualname": "DistKeyProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.DistStyleProperty": {"fullname": "sqlglot.expressions.DistStyleProperty", "modulename": "sqlglot.expressions", "qualname": "DistStyleProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.EngineProperty": {"fullname": "sqlglot.expressions.EngineProperty", "modulename": "sqlglot.expressions", "qualname": "EngineProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.ExecuteAsProperty": {"fullname": "sqlglot.expressions.ExecuteAsProperty", "modulename": "sqlglot.expressions", "qualname": "ExecuteAsProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.ExternalProperty": {"fullname": "sqlglot.expressions.ExternalProperty", "modulename": "sqlglot.expressions", "qualname": "ExternalProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.FallbackProperty": {"fullname": "sqlglot.expressions.FallbackProperty", "modulename": "sqlglot.expressions", "qualname": "FallbackProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.FileFormatProperty": {"fullname": "sqlglot.expressions.FileFormatProperty", "modulename": "sqlglot.expressions", "qualname": "FileFormatProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.FreespaceProperty": {"fullname": "sqlglot.expressions.FreespaceProperty", "modulename": "sqlglot.expressions", "qualname": "FreespaceProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.InputOutputFormat": {"fullname": "sqlglot.expressions.InputOutputFormat", "modulename": "sqlglot.expressions", "qualname": "InputOutputFormat", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.IsolatedLoadingProperty": {"fullname": "sqlglot.expressions.IsolatedLoadingProperty", "modulename": "sqlglot.expressions", "qualname": "IsolatedLoadingProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.JournalProperty": {"fullname": "sqlglot.expressions.JournalProperty", "modulename": "sqlglot.expressions", "qualname": "JournalProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LanguageProperty": {"fullname": "sqlglot.expressions.LanguageProperty", "modulename": "sqlglot.expressions", "qualname": "LanguageProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LikeProperty": {"fullname": "sqlglot.expressions.LikeProperty", "modulename": "sqlglot.expressions", "qualname": "LikeProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LocationProperty": {"fullname": "sqlglot.expressions.LocationProperty", "modulename": "sqlglot.expressions", "qualname": "LocationProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LockingProperty": {"fullname": "sqlglot.expressions.LockingProperty", "modulename": "sqlglot.expressions", "qualname": "LockingProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.LogProperty": {"fullname": "sqlglot.expressions.LogProperty", "modulename": "sqlglot.expressions", "qualname": "LogProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.MaterializedProperty": {"fullname": "sqlglot.expressions.MaterializedProperty", "modulename": "sqlglot.expressions", "qualname": "MaterializedProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.MergeBlockRatioProperty": {"fullname": "sqlglot.expressions.MergeBlockRatioProperty", "modulename": "sqlglot.expressions", "qualname": "MergeBlockRatioProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.NoPrimaryIndexProperty": {"fullname": "sqlglot.expressions.NoPrimaryIndexProperty", "modulename": "sqlglot.expressions", "qualname": "NoPrimaryIndexProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.OnCommitProperty": {"fullname": "sqlglot.expressions.OnCommitProperty", "modulename": "sqlglot.expressions", "qualname": "OnCommitProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.PartitionedByProperty": {"fullname": "sqlglot.expressions.PartitionedByProperty", "modulename": "sqlglot.expressions", "qualname": "PartitionedByProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.ReturnsProperty": {"fullname": "sqlglot.expressions.ReturnsProperty", "modulename": "sqlglot.expressions", "qualname": "ReturnsProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.RowFormatProperty": {"fullname": "sqlglot.expressions.RowFormatProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.RowFormatDelimitedProperty": {"fullname": "sqlglot.expressions.RowFormatDelimitedProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatDelimitedProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.RowFormatSerdeProperty": {"fullname": "sqlglot.expressions.RowFormatSerdeProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatSerdeProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SchemaCommentProperty": {"fullname": "sqlglot.expressions.SchemaCommentProperty", "modulename": "sqlglot.expressions", "qualname": "SchemaCommentProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SerdeProperties": {"fullname": "sqlglot.expressions.SerdeProperties", "modulename": "sqlglot.expressions", "qualname": "SerdeProperties", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SetProperty": {"fullname": "sqlglot.expressions.SetProperty", "modulename": "sqlglot.expressions", "qualname": "SetProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SortKeyProperty": {"fullname": "sqlglot.expressions.SortKeyProperty", "modulename": "sqlglot.expressions", "qualname": "SortKeyProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.SqlSecurityProperty": {"fullname": "sqlglot.expressions.SqlSecurityProperty", "modulename": "sqlglot.expressions", "qualname": "SqlSecurityProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.StabilityProperty": {"fullname": "sqlglot.expressions.StabilityProperty", "modulename": "sqlglot.expressions", "qualname": "StabilityProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.TableFormatProperty": {"fullname": "sqlglot.expressions.TableFormatProperty", "modulename": "sqlglot.expressions", "qualname": "TableFormatProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.TemporaryProperty": {"fullname": "sqlglot.expressions.TemporaryProperty", "modulename": "sqlglot.expressions", "qualname": "TemporaryProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.TransientProperty": {"fullname": "sqlglot.expressions.TransientProperty", "modulename": "sqlglot.expressions", "qualname": "TransientProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.VolatileProperty": {"fullname": "sqlglot.expressions.VolatileProperty", "modulename": "sqlglot.expressions", "qualname": "VolatileProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.WithDataProperty": {"fullname": "sqlglot.expressions.WithDataProperty", "modulename": "sqlglot.expressions", "qualname": "WithDataProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.WithJournalTableProperty": {"fullname": "sqlglot.expressions.WithJournalTableProperty", "modulename": "sqlglot.expressions", "qualname": "WithJournalTableProperty", "kind": "class", "doc": "\n", "bases": "Property"}, "sqlglot.expressions.Properties": {"fullname": "sqlglot.expressions.Properties", "modulename": "sqlglot.expressions", "qualname": "Properties", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Properties.Location": {"fullname": "sqlglot.expressions.Properties.Location", "modulename": "sqlglot.expressions", "qualname": "Properties.Location", "kind": "class", "doc": "Join: the modified join expression.
\n
An enumeration.
\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"fullname": "sqlglot.expressions.Properties.Location.POST_CREATE", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_CREATE", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_CREATE: 'POST_CREATE'>"}, "sqlglot.expressions.Properties.Location.POST_NAME": {"fullname": "sqlglot.expressions.Properties.Location.POST_NAME", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_NAME", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_NAME: 'POST_NAME'>"}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"fullname": "sqlglot.expressions.Properties.Location.POST_SCHEMA", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_SCHEMA", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_SCHEMA: 'POST_SCHEMA'>"}, "sqlglot.expressions.Properties.Location.POST_WITH": {"fullname": "sqlglot.expressions.Properties.Location.POST_WITH", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_WITH", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_WITH: 'POST_WITH'>"}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"fullname": "sqlglot.expressions.Properties.Location.POST_ALIAS", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_ALIAS", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_ALIAS: 'POST_ALIAS'>"}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"fullname": "sqlglot.expressions.Properties.Location.POST_EXPRESSION", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_EXPRESSION", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_EXPRESSION: 'POST_EXPRESSION'>"}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"fullname": "sqlglot.expressions.Properties.Location.POST_INDEX", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_INDEX", "kind": "variable", "doc": "\n", "default_value": "<Location.POST_INDEX: 'POST_INDEX'>"}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"fullname": "sqlglot.expressions.Properties.Location.UNSUPPORTED", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.UNSUPPORTED", "kind": "variable", "doc": "\n", "default_value": "<Location.UNSUPPORTED: 'UNSUPPORTED'>"}, "sqlglot.expressions.Properties.from_dict": {"fullname": "sqlglot.expressions.Properties.from_dict", "modulename": "sqlglot.expressions", "qualname": "Properties.from_dict", "kind": "function", "doc": "\n", "signature": "(cls, properties_dict) -> sqlglot.expressions.Properties:", "funcdef": "def"}, "sqlglot.expressions.Qualify": {"fullname": "sqlglot.expressions.Qualify", "modulename": "sqlglot.expressions", "qualname": "Qualify", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Return": {"fullname": "sqlglot.expressions.Return", "modulename": "sqlglot.expressions", "qualname": "Return", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Reference": {"fullname": "sqlglot.expressions.Reference", "modulename": "sqlglot.expressions", "qualname": "Reference", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Tuple": {"fullname": "sqlglot.expressions.Tuple", "modulename": "sqlglot.expressions", "qualname": "Tuple", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Subqueryable": {"fullname": "sqlglot.expressions.Subqueryable", "modulename": "sqlglot.expressions", "qualname": "Subqueryable", "kind": "class", "doc": "\n", "bases": "Unionable"}, "sqlglot.expressions.Subqueryable.subquery": {"fullname": "sqlglot.expressions.Subqueryable.subquery", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.subquery", "kind": "function", "doc": "Convert this expression to an aliased expression that can be used as a Subquery.
\n\n\n\n\n\n\n\n>>> subquery = Select().select("x").from_("tbl").subquery()\n>>> Select().select("x").from_(subquery).sql()\n'SELECT x FROM (SELECT x FROM tbl)'\n
False
, modify this expression instance in-place.\n\n", "signature": "(self, alias=None, copy=True) -> sqlglot.expressions.Subquery:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.limit": {"fullname": "sqlglot.expressions.Subqueryable.limit", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.limit", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.with_": {"fullname": "sqlglot.expressions.Subqueryable.with_", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.with_", "kind": "function", "doc": "Alias: the subquery
\n
Append to or set the common table expressions.
\n\n\n\n\n\n\n\n>>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()\n'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'\n
Expression
instance is passed, this is used as-is.Expression
instance is passed, it will be used as-is.False
.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\talias,\tas_,\trecursive=None,\tappend=True,\tdialect=None,\tcopy=True,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.Table": {"fullname": "sqlglot.expressions.Table", "modulename": "sqlglot.expressions", "qualname": "Table", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SystemTime": {"fullname": "sqlglot.expressions.SystemTime", "modulename": "sqlglot.expressions", "qualname": "SystemTime", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Union": {"fullname": "sqlglot.expressions.Union", "modulename": "sqlglot.expressions", "qualname": "Union", "kind": "class", "doc": "\n", "bases": "Subqueryable"}, "sqlglot.expressions.Union.limit": {"fullname": "sqlglot.expressions.Union.limit", "modulename": "sqlglot.expressions", "qualname": "Union.limit", "kind": "function", "doc": "Select: the modified expression.
\n
Set the LIMIT expression.
\n\n\n\n\n\n\n\n>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n
Limit
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Limit
.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Union.select": {"fullname": "sqlglot.expressions.Union.select", "modulename": "sqlglot.expressions", "qualname": "Union.select", "kind": "function", "doc": "Select: The limited subqueryable.
\n
Append to or set the SELECT of the union recursively.
\n\n\n\n\n\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("select a from x union select a from y union select a from z").select("b").sql()\n'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'\n
Expression
instance is passed, it will be used as-is.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.Union.is_star": {"fullname": "sqlglot.expressions.Union.is_star", "modulename": "sqlglot.expressions", "qualname": "Union.is_star", "kind": "variable", "doc": "Union: the modified expression.
\n
Checks whether an expression is a star.
\n", "annotation": ": bool"}, "sqlglot.expressions.Except": {"fullname": "sqlglot.expressions.Except", "modulename": "sqlglot.expressions", "qualname": "Except", "kind": "class", "doc": "\n", "bases": "Union"}, "sqlglot.expressions.Intersect": {"fullname": "sqlglot.expressions.Intersect", "modulename": "sqlglot.expressions", "qualname": "Intersect", "kind": "class", "doc": "\n", "bases": "Union"}, "sqlglot.expressions.Unnest": {"fullname": "sqlglot.expressions.Unnest", "modulename": "sqlglot.expressions", "qualname": "Unnest", "kind": "class", "doc": "\n", "bases": "UDTF"}, "sqlglot.expressions.Update": {"fullname": "sqlglot.expressions.Update", "modulename": "sqlglot.expressions", "qualname": "Update", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Values": {"fullname": "sqlglot.expressions.Values", "modulename": "sqlglot.expressions", "qualname": "Values", "kind": "class", "doc": "\n", "bases": "UDTF"}, "sqlglot.expressions.Var": {"fullname": "sqlglot.expressions.Var", "modulename": "sqlglot.expressions", "qualname": "Var", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Schema": {"fullname": "sqlglot.expressions.Schema", "modulename": "sqlglot.expressions", "qualname": "Schema", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Lock": {"fullname": "sqlglot.expressions.Lock", "modulename": "sqlglot.expressions", "qualname": "Lock", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Select": {"fullname": "sqlglot.expressions.Select", "modulename": "sqlglot.expressions", "qualname": "Select", "kind": "class", "doc": "\n", "bases": "Subqueryable"}, "sqlglot.expressions.Select.from_": {"fullname": "sqlglot.expressions.Select.from_", "modulename": "sqlglot.expressions", "qualname": "Select.from_", "kind": "function", "doc": "Set the FROM expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n
From
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a From
.True
, add to any existing expressions.\nOtherwise, this flattens all the From
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.group_by": {"fullname": "sqlglot.expressions.Select.group_by", "modulename": "sqlglot.expressions", "qualname": "Select.group_by", "kind": "function", "doc": "Select: the modified expression.
\n
Set the GROUP BY expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n
Group
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Group
.\nIf nothing is passed in then a group by is not applied to the expressionTrue
, add to any existing expressions.\nOtherwise, this flattens all the Group
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.order_by": {"fullname": "sqlglot.expressions.Select.order_by", "modulename": "sqlglot.expressions", "qualname": "Select.order_by", "kind": "function", "doc": "Select: the modified expression.
\n
Set the ORDER BY expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n
Group
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Order
.True
, add to any existing expressions.\nOtherwise, this flattens all the Order
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.sort_by": {"fullname": "sqlglot.expressions.Select.sort_by", "modulename": "sqlglot.expressions", "qualname": "Select.sort_by", "kind": "function", "doc": "Select: the modified expression.
\n
Set the SORT BY expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").sort_by("x DESC").sql()\n'SELECT x FROM tbl SORT BY x DESC'\n
Group
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a SORT
.True
, add to any existing expressions.\nOtherwise, this flattens all the Order
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.cluster_by": {"fullname": "sqlglot.expressions.Select.cluster_by", "modulename": "sqlglot.expressions", "qualname": "Select.cluster_by", "kind": "function", "doc": "Select: the modified expression.
\n
Set the CLUSTER BY expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql()\n'SELECT x FROM tbl CLUSTER BY x DESC'\n
Group
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Cluster
.True
, add to any existing expressions.\nOtherwise, this flattens all the Order
expression into a single expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.limit": {"fullname": "sqlglot.expressions.Select.limit", "modulename": "sqlglot.expressions", "qualname": "Select.limit", "kind": "function", "doc": "Select: the modified expression.
\n
Set the LIMIT expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n
Limit
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Limit
.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.offset": {"fullname": "sqlglot.expressions.Select.offset", "modulename": "sqlglot.expressions", "qualname": "Select.offset", "kind": "function", "doc": "Select: the modified expression.
\n
Set the OFFSET expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n
Offset
instance is passed, this is used as-is.\nIf another Expression
instance is passed, it will be wrapped in a Offset
.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.select": {"fullname": "sqlglot.expressions.Select.select", "modulename": "sqlglot.expressions", "qualname": "Select.select", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the SELECT expressions.
\n\n\n\n\n\n\n\n>>> Select().select("x", "y").sql()\n'SELECT x, y'\n
Expression
instance is passed, it will be used as-is.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.lateral": {"fullname": "sqlglot.expressions.Select.lateral", "modulename": "sqlglot.expressions", "qualname": "Select.lateral", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the LATERAL expressions.
\n\n\n\n\n\n\n\n>>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()\n'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'\n
Expression
instance is passed, it will be used as-is.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.join": {"fullname": "sqlglot.expressions.Select.join", "modulename": "sqlglot.expressions", "qualname": "Select.join", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the JOIN expressions.
\n\n\n\n\n\n\n \n\n>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()\n'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n\n \n\n>>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()\n'SELECT 1 FROM a JOIN b USING (x, y, z)'\n
Use
\n \njoin_type
to change the type of join:\n\n\n>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()\n'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'\n
Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.True
, add to any existing expressions.\nOtherwise, this resets the expressions.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\texpression,\ton=None,\tusing=None,\tappend=True,\tjoin_type=None,\tjoin_alias=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.where": {"fullname": "sqlglot.expressions.Select.where", "modulename": "sqlglot.expressions", "qualname": "Select.where", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the WHERE expressions.
\n\n\n\n\n\n\n\n>>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()\n"SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"\n
Expression
instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.True
, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.having": {"fullname": "sqlglot.expressions.Select.having", "modulename": "sqlglot.expressions", "qualname": "Select.having", "kind": "function", "doc": "Select: the modified expression.
\n
Append to or set the HAVING expressions.
\n\n\n\n\n\n\n\n>>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()\n'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'\n
Expression
instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.True
, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.window": {"fullname": "sqlglot.expressions.Select.window", "modulename": "sqlglot.expressions", "qualname": "Select.window", "kind": "function", "doc": "\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.qualify": {"fullname": "sqlglot.expressions.Select.qualify", "modulename": "sqlglot.expressions", "qualname": "Select.qualify", "kind": "function", "doc": "\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.distinct": {"fullname": "sqlglot.expressions.Select.distinct", "modulename": "sqlglot.expressions", "qualname": "Select.distinct", "kind": "function", "doc": "Select: the modified expression.
\n
Set the OFFSET expression.
\n\n\n\n\n\n\n\n>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n
False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\t*ons: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.ctas": {"fullname": "sqlglot.expressions.Select.ctas", "modulename": "sqlglot.expressions", "qualname": "Select.ctas", "kind": "function", "doc": "Select: the modified expression.
\n
Convert this expression to a CREATE TABLE AS statement.
\n\n\n\n\n\n\n\n>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n
Expression
instance is passed, it will be used as-is.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\ttable,\tproperties=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Create:", "funcdef": "def"}, "sqlglot.expressions.Select.lock": {"fullname": "sqlglot.expressions.Select.lock", "modulename": "sqlglot.expressions", "qualname": "Select.lock", "kind": "function", "doc": "Create: the CREATE TABLE AS expression
\n
Set the locking read mode for this expression.
\n\n\n\n\n\n\n \n\n>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\n
\n\n\n>>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR SHARE"\n
True
, the locking type will be FOR UPDATE
, else it will be FOR SHARE
.False
, modify this expression instance in-place.\n\n", "signature": "(\tself,\tupdate: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.is_star": {"fullname": "sqlglot.expressions.Select.is_star", "modulename": "sqlglot.expressions", "qualname": "Select.is_star", "kind": "variable", "doc": "The modified expression.
\n
Checks whether an expression is a star.
\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery": {"fullname": "sqlglot.expressions.Subquery", "modulename": "sqlglot.expressions", "qualname": "Subquery", "kind": "class", "doc": "\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Subquery.unnest": {"fullname": "sqlglot.expressions.Subquery.unnest", "modulename": "sqlglot.expressions", "qualname": "Subquery.unnest", "kind": "function", "doc": "Returns the first non subquery.
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Subquery.is_star": {"fullname": "sqlglot.expressions.Subquery.is_star", "modulename": "sqlglot.expressions", "qualname": "Subquery.is_star", "kind": "variable", "doc": "Checks whether an expression is a star.
\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery.output_name": {"fullname": "sqlglot.expressions.Subquery.output_name", "modulename": "sqlglot.expressions", "qualname": "Subquery.output_name", "kind": "variable", "doc": "Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.TableSample": {"fullname": "sqlglot.expressions.TableSample", "modulename": "sqlglot.expressions", "qualname": "TableSample", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Tag": {"fullname": "sqlglot.expressions.Tag", "modulename": "sqlglot.expressions", "qualname": "Tag", "kind": "class", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Tags are used for generating arbitrary sql like SELECT x.
\n", "bases": "Expression"}, "sqlglot.expressions.Pivot": {"fullname": "sqlglot.expressions.Pivot", "modulename": "sqlglot.expressions", "qualname": "Pivot", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Window": {"fullname": "sqlglot.expressions.Window", "modulename": "sqlglot.expressions", "qualname": "Window", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.WindowSpec": {"fullname": "sqlglot.expressions.WindowSpec", "modulename": "sqlglot.expressions", "qualname": "WindowSpec", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Where": {"fullname": "sqlglot.expressions.Where", "modulename": "sqlglot.expressions", "qualname": "Where", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Star": {"fullname": "sqlglot.expressions.Star", "modulename": "sqlglot.expressions", "qualname": "Star", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Star.output_name": {"fullname": "sqlglot.expressions.Star.output_name", "modulename": "sqlglot.expressions", "qualname": "Star.output_name", "kind": "variable", "doc": "Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Parameter": {"fullname": "sqlglot.expressions.Parameter", "modulename": "sqlglot.expressions", "qualname": "Parameter", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SessionParameter": {"fullname": "sqlglot.expressions.SessionParameter", "modulename": "sqlglot.expressions", "qualname": "SessionParameter", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Placeholder": {"fullname": "sqlglot.expressions.Placeholder", "modulename": "sqlglot.expressions", "qualname": "Placeholder", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Null": {"fullname": "sqlglot.expressions.Null", "modulename": "sqlglot.expressions", "qualname": "Null", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Boolean": {"fullname": "sqlglot.expressions.Boolean", "modulename": "sqlglot.expressions", "qualname": "Boolean", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.DataType": {"fullname": "sqlglot.expressions.DataType", "modulename": "sqlglot.expressions", "qualname": "DataType", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.DataType.Type": {"fullname": "sqlglot.expressions.DataType.Type", "modulename": "sqlglot.expressions", "qualname": "DataType.Type", "kind": "class", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
An enumeration.
\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.DataType.Type.CHAR": {"fullname": "sqlglot.expressions.DataType.Type.CHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.CHAR", "kind": "variable", "doc": "\n", "default_value": "<Type.CHAR: 'CHAR'>"}, "sqlglot.expressions.DataType.Type.NCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NCHAR", "kind": "variable", "doc": "\n", "default_value": "<Type.NCHAR: 'NCHAR'>"}, "sqlglot.expressions.DataType.Type.VARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.VARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARCHAR", "kind": "variable", "doc": "\n", "default_value": "<Type.VARCHAR: 'VARCHAR'>"}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NVARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NVARCHAR", "kind": "variable", "doc": "\n", "default_value": "<Type.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.expressions.DataType.Type.TEXT": {"fullname": "sqlglot.expressions.DataType.Type.TEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TEXT", "kind": "variable", "doc": "\n", "default_value": "<Type.TEXT: 'TEXT'>"}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMTEXT", "kind": "variable", "doc": "\n", "default_value": "<Type.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"fullname": "sqlglot.expressions.DataType.Type.LONGTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGTEXT", "kind": "variable", "doc": "\n", "default_value": "<Type.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMBLOB", "kind": "variable", "doc": "\n", "default_value": "<Type.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"fullname": "sqlglot.expressions.DataType.Type.LONGBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGBLOB", "kind": "variable", "doc": "\n", "default_value": "<Type.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.expressions.DataType.Type.BINARY": {"fullname": "sqlglot.expressions.DataType.Type.BINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BINARY", "kind": "variable", "doc": "\n", "default_value": "<Type.BINARY: 'BINARY'>"}, "sqlglot.expressions.DataType.Type.VARBINARY": {"fullname": "sqlglot.expressions.DataType.Type.VARBINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARBINARY", "kind": "variable", "doc": "\n", "default_value": "<Type.VARBINARY: 'VARBINARY'>"}, "sqlglot.expressions.DataType.Type.INT": {"fullname": "sqlglot.expressions.DataType.Type.INT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT", "kind": "variable", "doc": "\n", "default_value": "<Type.INT: 'INT'>"}, "sqlglot.expressions.DataType.Type.UINT": {"fullname": "sqlglot.expressions.DataType.Type.UINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT", "kind": "variable", "doc": "\n", "default_value": "<Type.UINT: 'UINT'>"}, "sqlglot.expressions.DataType.Type.TINYINT": {"fullname": "sqlglot.expressions.DataType.Type.TINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TINYINT", "kind": "variable", "doc": "\n", "default_value": "<Type.TINYINT: 'TINYINT'>"}, "sqlglot.expressions.DataType.Type.UTINYINT": {"fullname": "sqlglot.expressions.DataType.Type.UTINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UTINYINT", "kind": "variable", "doc": "\n", "default_value": "<Type.UTINYINT: 'UTINYINT'>"}, "sqlglot.expressions.DataType.Type.SMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.SMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLINT", "kind": "variable", "doc": "\n", "default_value": "<Type.SMALLINT: 'SMALLINT'>"}, "sqlglot.expressions.DataType.Type.USMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.USMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.USMALLINT", "kind": "variable", "doc": "\n", "default_value": "<Type.USMALLINT: 'USMALLINT'>"}, "sqlglot.expressions.DataType.Type.BIGINT": {"fullname": "sqlglot.expressions.DataType.Type.BIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGINT", "kind": "variable", "doc": "\n", "default_value": "<Type.BIGINT: 'BIGINT'>"}, "sqlglot.expressions.DataType.Type.UBIGINT": {"fullname": "sqlglot.expressions.DataType.Type.UBIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UBIGINT", "kind": "variable", "doc": "\n", "default_value": "<Type.UBIGINT: 'UBIGINT'>"}, "sqlglot.expressions.DataType.Type.FLOAT": {"fullname": "sqlglot.expressions.DataType.Type.FLOAT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.FLOAT", "kind": "variable", "doc": "\n", "default_value": "<Type.FLOAT: 'FLOAT'>"}, "sqlglot.expressions.DataType.Type.DOUBLE": {"fullname": "sqlglot.expressions.DataType.Type.DOUBLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DOUBLE", "kind": "variable", "doc": "\n", "default_value": "<Type.DOUBLE: 'DOUBLE'>"}, "sqlglot.expressions.DataType.Type.DECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.DECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DECIMAL", "kind": "variable", "doc": "\n", "default_value": "<Type.DECIMAL: 'DECIMAL'>"}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGDECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGDECIMAL", "kind": "variable", "doc": "\n", "default_value": "<Type.BIGDECIMAL: 'BIGDECIMAL'>"}, "sqlglot.expressions.DataType.Type.BIT": {"fullname": "sqlglot.expressions.DataType.Type.BIT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIT", "kind": "variable", "doc": "\n", "default_value": "<Type.BIT: 'BIT'>"}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"fullname": "sqlglot.expressions.DataType.Type.BOOLEAN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BOOLEAN", "kind": "variable", "doc": "\n", "default_value": "<Type.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.expressions.DataType.Type.JSON": {"fullname": "sqlglot.expressions.DataType.Type.JSON", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSON", "kind": "variable", "doc": "\n", "default_value": "<Type.JSON: 'JSON'>"}, "sqlglot.expressions.DataType.Type.JSONB": {"fullname": "sqlglot.expressions.DataType.Type.JSONB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSONB", "kind": "variable", "doc": "\n", "default_value": "<Type.JSONB: 'JSONB'>"}, "sqlglot.expressions.DataType.Type.INTERVAL": {"fullname": "sqlglot.expressions.DataType.Type.INTERVAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INTERVAL", "kind": "variable", "doc": "\n", "default_value": "<Type.INTERVAL: 'INTERVAL'>"}, "sqlglot.expressions.DataType.Type.TIME": {"fullname": "sqlglot.expressions.DataType.Type.TIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIME", "kind": "variable", "doc": "\n", "default_value": "<Type.TIME: 'TIME'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMP", "kind": "variable", "doc": "\n", "default_value": "<Type.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPTZ", "kind": "variable", "doc": "\n", "default_value": "<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPLTZ", "kind": "variable", "doc": "\n", "default_value": "<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.expressions.DataType.Type.DATE": {"fullname": "sqlglot.expressions.DataType.Type.DATE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATE", "kind": "variable", "doc": "\n", "default_value": "<Type.DATE: 'DATE'>"}, "sqlglot.expressions.DataType.Type.DATETIME": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME", "kind": "variable", "doc": "\n", "default_value": "<Type.DATETIME: 'DATETIME'>"}, "sqlglot.expressions.DataType.Type.ARRAY": {"fullname": "sqlglot.expressions.DataType.Type.ARRAY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ARRAY", "kind": "variable", "doc": "\n", "default_value": "<Type.ARRAY: 'ARRAY'>"}, "sqlglot.expressions.DataType.Type.MAP": {"fullname": "sqlglot.expressions.DataType.Type.MAP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MAP", "kind": "variable", "doc": "\n", "default_value": "<Type.MAP: 'MAP'>"}, "sqlglot.expressions.DataType.Type.UUID": {"fullname": "sqlglot.expressions.DataType.Type.UUID", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UUID", "kind": "variable", "doc": "\n", "default_value": "<Type.UUID: 'UUID'>"}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"fullname": "sqlglot.expressions.DataType.Type.GEOGRAPHY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOGRAPHY", "kind": "variable", "doc": "\n", "default_value": "<Type.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"fullname": "sqlglot.expressions.DataType.Type.GEOMETRY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOMETRY", "kind": "variable", "doc": "\n", "default_value": "<Type.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.expressions.DataType.Type.STRUCT": {"fullname": "sqlglot.expressions.DataType.Type.STRUCT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.STRUCT", "kind": "variable", "doc": "\n", "default_value": "<Type.STRUCT: 'STRUCT'>"}, "sqlglot.expressions.DataType.Type.NULLABLE": {"fullname": "sqlglot.expressions.DataType.Type.NULLABLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULLABLE", "kind": "variable", "doc": "\n", "default_value": "<Type.NULLABLE: 'NULLABLE'>"}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"fullname": "sqlglot.expressions.DataType.Type.HLLSKETCH", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HLLSKETCH", "kind": "variable", "doc": "\n", "default_value": "<Type.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.expressions.DataType.Type.HSTORE": {"fullname": "sqlglot.expressions.DataType.Type.HSTORE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HSTORE", "kind": "variable", "doc": "\n", "default_value": "<Type.HSTORE: 'HSTORE'>"}, "sqlglot.expressions.DataType.Type.SUPER": {"fullname": "sqlglot.expressions.DataType.Type.SUPER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SUPER", "kind": "variable", "doc": "\n", "default_value": "<Type.SUPER: 'SUPER'>"}, "sqlglot.expressions.DataType.Type.SERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SERIAL", "kind": "variable", "doc": "\n", "default_value": "<Type.SERIAL: 'SERIAL'>"}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SMALLSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLSERIAL", "kind": "variable", "doc": "\n", "default_value": "<Type.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGSERIAL", "kind": "variable", "doc": "\n", "default_value": "<Type.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.expressions.DataType.Type.XML": {"fullname": "sqlglot.expressions.DataType.Type.XML", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.XML", "kind": "variable", "doc": "\n", "default_value": "<Type.XML: 'XML'>"}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"fullname": "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNIQUEIDENTIFIER", "kind": "variable", "doc": "\n", "default_value": "<Type.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.expressions.DataType.Type.MONEY": {"fullname": "sqlglot.expressions.DataType.Type.MONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MONEY", "kind": "variable", "doc": "\n", "default_value": "<Type.MONEY: 'MONEY'>"}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"fullname": "sqlglot.expressions.DataType.Type.SMALLMONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLMONEY", "kind": "variable", "doc": "\n", "default_value": "<Type.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"fullname": "sqlglot.expressions.DataType.Type.ROWVERSION", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ROWVERSION", "kind": "variable", "doc": "\n", "default_value": "<Type.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.expressions.DataType.Type.IMAGE": {"fullname": "sqlglot.expressions.DataType.Type.IMAGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.IMAGE", "kind": "variable", "doc": "\n", "default_value": "<Type.IMAGE: 'IMAGE'>"}, "sqlglot.expressions.DataType.Type.VARIANT": {"fullname": "sqlglot.expressions.DataType.Type.VARIANT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARIANT", "kind": "variable", "doc": "\n", "default_value": "<Type.VARIANT: 'VARIANT'>"}, "sqlglot.expressions.DataType.Type.OBJECT": {"fullname": "sqlglot.expressions.DataType.Type.OBJECT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.OBJECT", "kind": "variable", "doc": "\n", "default_value": "<Type.OBJECT: 'OBJECT'>"}, "sqlglot.expressions.DataType.Type.INET": {"fullname": "sqlglot.expressions.DataType.Type.INET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INET", "kind": "variable", "doc": "\n", "default_value": "<Type.INET: 'INET'>"}, "sqlglot.expressions.DataType.Type.NULL": {"fullname": "sqlglot.expressions.DataType.Type.NULL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULL", "kind": "variable", "doc": "\n", "default_value": "<Type.NULL: 'NULL'>"}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"fullname": "sqlglot.expressions.DataType.Type.UNKNOWN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNKNOWN", "kind": "variable", "doc": "\n", "default_value": "<Type.UNKNOWN: 'UNKNOWN'>"}, "sqlglot.expressions.DataType.build": {"fullname": "sqlglot.expressions.DataType.build", "modulename": "sqlglot.expressions", "qualname": "DataType.build", "kind": "function", "doc": "\n", "signature": "(\tcls,\tdtype: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.expressions.DataType.is_type": {"fullname": "sqlglot.expressions.DataType.is_type", "modulename": "sqlglot.expressions", "qualname": "DataType.is_type", "kind": "function", "doc": "\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.PseudoType": {"fullname": "sqlglot.expressions.PseudoType", "modulename": "sqlglot.expressions", "qualname": "PseudoType", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.StructKwarg": {"fullname": "sqlglot.expressions.StructKwarg", "modulename": "sqlglot.expressions", "qualname": "StructKwarg", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.SubqueryPredicate": {"fullname": "sqlglot.expressions.SubqueryPredicate", "modulename": "sqlglot.expressions", "qualname": "SubqueryPredicate", "kind": "class", "doc": "\n", "bases": "Predicate"}, "sqlglot.expressions.All": {"fullname": "sqlglot.expressions.All", "modulename": "sqlglot.expressions", "qualname": "All", "kind": "class", "doc": "\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Any": {"fullname": "sqlglot.expressions.Any", "modulename": "sqlglot.expressions", "qualname": "Any", "kind": "class", "doc": "\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Exists": {"fullname": "sqlglot.expressions.Exists", "modulename": "sqlglot.expressions", "qualname": "Exists", "kind": "class", "doc": "\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Command": {"fullname": "sqlglot.expressions.Command", "modulename": "sqlglot.expressions", "qualname": "Command", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Transaction": {"fullname": "sqlglot.expressions.Transaction", "modulename": "sqlglot.expressions", "qualname": "Transaction", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Commit": {"fullname": "sqlglot.expressions.Commit", "modulename": "sqlglot.expressions", "qualname": "Commit", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Rollback": {"fullname": "sqlglot.expressions.Rollback", "modulename": "sqlglot.expressions", "qualname": "Rollback", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AlterTable": {"fullname": "sqlglot.expressions.AlterTable", "modulename": "sqlglot.expressions", "qualname": "AlterTable", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AddConstraint": {"fullname": "sqlglot.expressions.AddConstraint", "modulename": "sqlglot.expressions", "qualname": "AddConstraint", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.DropPartition": {"fullname": "sqlglot.expressions.DropPartition", "modulename": "sqlglot.expressions", "qualname": "DropPartition", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Binary": {"fullname": "sqlglot.expressions.Binary", "modulename": "sqlglot.expressions", "qualname": "Binary", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Add": {"fullname": "sqlglot.expressions.Add", "modulename": "sqlglot.expressions", "qualname": "Add", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Connector": {"fullname": "sqlglot.expressions.Connector", "modulename": "sqlglot.expressions", "qualname": "Connector", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.And": {"fullname": "sqlglot.expressions.And", "modulename": "sqlglot.expressions", "qualname": "And", "kind": "class", "doc": "\n", "bases": "Connector"}, "sqlglot.expressions.Or": {"fullname": "sqlglot.expressions.Or", "modulename": "sqlglot.expressions", "qualname": "Or", "kind": "class", "doc": "\n", "bases": "Connector"}, "sqlglot.expressions.BitwiseAnd": {"fullname": "sqlglot.expressions.BitwiseAnd", "modulename": "sqlglot.expressions", "qualname": "BitwiseAnd", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseLeftShift": {"fullname": "sqlglot.expressions.BitwiseLeftShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseLeftShift", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseOr": {"fullname": "sqlglot.expressions.BitwiseOr", "modulename": "sqlglot.expressions", "qualname": "BitwiseOr", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseRightShift": {"fullname": "sqlglot.expressions.BitwiseRightShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseRightShift", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseXor": {"fullname": "sqlglot.expressions.BitwiseXor", "modulename": "sqlglot.expressions", "qualname": "BitwiseXor", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Div": {"fullname": "sqlglot.expressions.Div", "modulename": "sqlglot.expressions", "qualname": "Div", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Overlaps": {"fullname": "sqlglot.expressions.Overlaps", "modulename": "sqlglot.expressions", "qualname": "Overlaps", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Dot": {"fullname": "sqlglot.expressions.Dot", "modulename": "sqlglot.expressions", "qualname": "Dot", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Dot.build": {"fullname": "sqlglot.expressions.Dot.build", "modulename": "sqlglot.expressions", "qualname": "Dot.build", "kind": "function", "doc": "Build a Dot object with a sequence of expressions.
\n", "signature": "(\tself,\texpressions: Sequence[sqlglot.expressions.Expression]) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.DPipe": {"fullname": "sqlglot.expressions.DPipe", "modulename": "sqlglot.expressions", "qualname": "DPipe", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.EQ": {"fullname": "sqlglot.expressions.EQ", "modulename": "sqlglot.expressions", "qualname": "EQ", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeEQ": {"fullname": "sqlglot.expressions.NullSafeEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeEQ", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeNEQ": {"fullname": "sqlglot.expressions.NullSafeNEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeNEQ", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Distance": {"fullname": "sqlglot.expressions.Distance", "modulename": "sqlglot.expressions", "qualname": "Distance", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Escape": {"fullname": "sqlglot.expressions.Escape", "modulename": "sqlglot.expressions", "qualname": "Escape", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Glob": {"fullname": "sqlglot.expressions.Glob", "modulename": "sqlglot.expressions", "qualname": "Glob", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GT": {"fullname": "sqlglot.expressions.GT", "modulename": "sqlglot.expressions", "qualname": "GT", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GTE": {"fullname": "sqlglot.expressions.GTE", "modulename": "sqlglot.expressions", "qualname": "GTE", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILike": {"fullname": "sqlglot.expressions.ILike", "modulename": "sqlglot.expressions", "qualname": "ILike", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILikeAny": {"fullname": "sqlglot.expressions.ILikeAny", "modulename": "sqlglot.expressions", "qualname": "ILikeAny", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.IntDiv": {"fullname": "sqlglot.expressions.IntDiv", "modulename": "sqlglot.expressions", "qualname": "IntDiv", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Is": {"fullname": "sqlglot.expressions.Is", "modulename": "sqlglot.expressions", "qualname": "Is", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Kwarg": {"fullname": "sqlglot.expressions.Kwarg", "modulename": "sqlglot.expressions", "qualname": "Kwarg", "kind": "class", "doc": "Kwarg in special functions like func(kwarg => y).
\n", "bases": "Binary"}, "sqlglot.expressions.Like": {"fullname": "sqlglot.expressions.Like", "modulename": "sqlglot.expressions", "qualname": "Like", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LikeAny": {"fullname": "sqlglot.expressions.LikeAny", "modulename": "sqlglot.expressions", "qualname": "LikeAny", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LT": {"fullname": "sqlglot.expressions.LT", "modulename": "sqlglot.expressions", "qualname": "LT", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LTE": {"fullname": "sqlglot.expressions.LTE", "modulename": "sqlglot.expressions", "qualname": "LTE", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Mod": {"fullname": "sqlglot.expressions.Mod", "modulename": "sqlglot.expressions", "qualname": "Mod", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Mul": {"fullname": "sqlglot.expressions.Mul", "modulename": "sqlglot.expressions", "qualname": "Mul", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.NEQ": {"fullname": "sqlglot.expressions.NEQ", "modulename": "sqlglot.expressions", "qualname": "NEQ", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.SimilarTo": {"fullname": "sqlglot.expressions.SimilarTo", "modulename": "sqlglot.expressions", "qualname": "SimilarTo", "kind": "class", "doc": "\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Slice": {"fullname": "sqlglot.expressions.Slice", "modulename": "sqlglot.expressions", "qualname": "Slice", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Sub": {"fullname": "sqlglot.expressions.Sub", "modulename": "sqlglot.expressions", "qualname": "Sub", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.ArrayOverlaps": {"fullname": "sqlglot.expressions.ArrayOverlaps", "modulename": "sqlglot.expressions", "qualname": "ArrayOverlaps", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.Unary": {"fullname": "sqlglot.expressions.Unary", "modulename": "sqlglot.expressions", "qualname": "Unary", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.BitwiseNot": {"fullname": "sqlglot.expressions.BitwiseNot", "modulename": "sqlglot.expressions", "qualname": "BitwiseNot", "kind": "class", "doc": "\n", "bases": "Unary"}, "sqlglot.expressions.Not": {"fullname": "sqlglot.expressions.Not", "modulename": "sqlglot.expressions", "qualname": "Not", "kind": "class", "doc": "\n", "bases": "Unary"}, "sqlglot.expressions.Paren": {"fullname": "sqlglot.expressions.Paren", "modulename": "sqlglot.expressions", "qualname": "Paren", "kind": "class", "doc": "\n", "bases": "Unary"}, "sqlglot.expressions.Neg": {"fullname": "sqlglot.expressions.Neg", "modulename": "sqlglot.expressions", "qualname": "Neg", "kind": "class", "doc": "\n", "bases": "Unary"}, "sqlglot.expressions.Alias": {"fullname": "sqlglot.expressions.Alias", "modulename": "sqlglot.expressions", "qualname": "Alias", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Alias.output_name": {"fullname": "sqlglot.expressions.Alias.output_name", "modulename": "sqlglot.expressions", "qualname": "Alias.output_name", "kind": "variable", "doc": "Name of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Aliases": {"fullname": "sqlglot.expressions.Aliases", "modulename": "sqlglot.expressions", "qualname": "Aliases", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.AtTimeZone": {"fullname": "sqlglot.expressions.AtTimeZone", "modulename": "sqlglot.expressions", "qualname": "AtTimeZone", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Between": {"fullname": "sqlglot.expressions.Between", "modulename": "sqlglot.expressions", "qualname": "Between", "kind": "class", "doc": "\n", "bases": "Predicate"}, "sqlglot.expressions.Bracket": {"fullname": "sqlglot.expressions.Bracket", "modulename": "sqlglot.expressions", "qualname": "Bracket", "kind": "class", "doc": "\n", "bases": "Condition"}, "sqlglot.expressions.Distinct": {"fullname": "sqlglot.expressions.Distinct", "modulename": "sqlglot.expressions", "qualname": "Distinct", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.In": {"fullname": "sqlglot.expressions.In", "modulename": "sqlglot.expressions", "qualname": "In", "kind": "class", "doc": "\n", "bases": "Predicate"}, "sqlglot.expressions.TimeUnit": {"fullname": "sqlglot.expressions.TimeUnit", "modulename": "sqlglot.expressions", "qualname": "TimeUnit", "kind": "class", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Automatically converts unit arg into a var.
\n", "bases": "Expression"}, "sqlglot.expressions.TimeUnit.__init__": {"fullname": "sqlglot.expressions.TimeUnit.__init__", "modulename": "sqlglot.expressions", "qualname": "TimeUnit.__init__", "kind": "function", "doc": "\n", "signature": "(**args)"}, "sqlglot.expressions.Interval": {"fullname": "sqlglot.expressions.Interval", "modulename": "sqlglot.expressions", "qualname": "Interval", "kind": "class", "doc": "\n", "bases": "TimeUnit"}, "sqlglot.expressions.IgnoreNulls": {"fullname": "sqlglot.expressions.IgnoreNulls", "modulename": "sqlglot.expressions", "qualname": "IgnoreNulls", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.RespectNulls": {"fullname": "sqlglot.expressions.RespectNulls", "modulename": "sqlglot.expressions", "qualname": "RespectNulls", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Func": {"fullname": "sqlglot.expressions.Func", "modulename": "sqlglot.expressions", "qualname": "Func", "kind": "class", "doc": "The base class for all function expressions.
\n\nName of the output column if this expression is a selection.
\n\nIf the Expression has no output name, an empty string is returned.
\n\n\n\n"}, "sqlglot.expressions.Cast.is_type": {"fullname": "sqlglot.expressions.Cast.is_type", "modulename": "sqlglot.expressions", "qualname": "Cast.is_type", "kind": "function", "doc": "\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.Collate": {"fullname": "sqlglot.expressions.Collate", "modulename": "sqlglot.expressions", "qualname": "Collate", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.TryCast": {"fullname": "sqlglot.expressions.TryCast", "modulename": "sqlglot.expressions", "qualname": "TryCast", "kind": "class", "doc": "\n", "bases": "Cast"}, "sqlglot.expressions.Ceil": {"fullname": "sqlglot.expressions.Ceil", "modulename": "sqlglot.expressions", "qualname": "Ceil", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Coalesce": {"fullname": "sqlglot.expressions.Coalesce", "modulename": "sqlglot.expressions", "qualname": "Coalesce", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Concat": {"fullname": "sqlglot.expressions.Concat", "modulename": "sqlglot.expressions", "qualname": "Concat", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.ConcatWs": {"fullname": "sqlglot.expressions.ConcatWs", "modulename": "sqlglot.expressions", "qualname": "ConcatWs", "kind": "class", "doc": "\n", "bases": "Concat"}, "sqlglot.expressions.Count": {"fullname": "sqlglot.expressions.Count", "modulename": "sqlglot.expressions", "qualname": "Count", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.CountIf": {"fullname": "sqlglot.expressions.CountIf", "modulename": "sqlglot.expressions", "qualname": "CountIf", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.CurrentDate": {"fullname": "sqlglot.expressions.CurrentDate", "modulename": "sqlglot.expressions", "qualname": "CurrentDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.CurrentDatetime": {"fullname": "sqlglot.expressions.CurrentDatetime", "modulename": "sqlglot.expressions", "qualname": "CurrentDatetime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.CurrentTime": {"fullname": "sqlglot.expressions.CurrentTime", "modulename": "sqlglot.expressions", "qualname": "CurrentTime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.CurrentTimestamp": {"fullname": "sqlglot.expressions.CurrentTimestamp", "modulename": "sqlglot.expressions", "qualname": "CurrentTimestamp", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.CurrentUser": {"fullname": "sqlglot.expressions.CurrentUser", "modulename": "sqlglot.expressions", "qualname": "CurrentUser", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DateAdd": {"fullname": "sqlglot.expressions.DateAdd", "modulename": "sqlglot.expressions", "qualname": "DateAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateSub": {"fullname": "sqlglot.expressions.DateSub", "modulename": "sqlglot.expressions", "qualname": "DateSub", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateDiff": {"fullname": "sqlglot.expressions.DateDiff", "modulename": "sqlglot.expressions", "qualname": "DateDiff", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateTrunc": {"fullname": "sqlglot.expressions.DateTrunc", "modulename": "sqlglot.expressions", "qualname": "DateTrunc", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DatetimeAdd": {"fullname": "sqlglot.expressions.DatetimeAdd", "modulename": "sqlglot.expressions", "qualname": "DatetimeAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeSub": {"fullname": "sqlglot.expressions.DatetimeSub", "modulename": "sqlglot.expressions", "qualname": "DatetimeSub", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeDiff": {"fullname": "sqlglot.expressions.DatetimeDiff", "modulename": "sqlglot.expressions", "qualname": "DatetimeDiff", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeTrunc": {"fullname": "sqlglot.expressions.DatetimeTrunc", "modulename": "sqlglot.expressions", "qualname": "DatetimeTrunc", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DayOfWeek": {"fullname": "sqlglot.expressions.DayOfWeek", "modulename": "sqlglot.expressions", "qualname": "DayOfWeek", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DayOfMonth": {"fullname": "sqlglot.expressions.DayOfMonth", "modulename": "sqlglot.expressions", "qualname": "DayOfMonth", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DayOfYear": {"fullname": "sqlglot.expressions.DayOfYear", "modulename": "sqlglot.expressions", "qualname": "DayOfYear", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.WeekOfYear": {"fullname": "sqlglot.expressions.WeekOfYear", "modulename": "sqlglot.expressions", "qualname": "WeekOfYear", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.LastDateOfMonth": {"fullname": "sqlglot.expressions.LastDateOfMonth", "modulename": "sqlglot.expressions", "qualname": "LastDateOfMonth", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Extract": {"fullname": "sqlglot.expressions.Extract", "modulename": "sqlglot.expressions", "qualname": "Extract", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimestampAdd": {"fullname": "sqlglot.expressions.TimestampAdd", "modulename": "sqlglot.expressions", "qualname": "TimestampAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampSub": {"fullname": "sqlglot.expressions.TimestampSub", "modulename": "sqlglot.expressions", "qualname": "TimestampSub", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampDiff": {"fullname": "sqlglot.expressions.TimestampDiff", "modulename": "sqlglot.expressions", "qualname": "TimestampDiff", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampTrunc": {"fullname": "sqlglot.expressions.TimestampTrunc", "modulename": "sqlglot.expressions", "qualname": "TimestampTrunc", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeAdd": {"fullname": "sqlglot.expressions.TimeAdd", "modulename": "sqlglot.expressions", "qualname": "TimeAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeSub": {"fullname": "sqlglot.expressions.TimeSub", "modulename": "sqlglot.expressions", "qualname": "TimeSub", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeDiff": {"fullname": "sqlglot.expressions.TimeDiff", "modulename": "sqlglot.expressions", "qualname": "TimeDiff", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeTrunc": {"fullname": "sqlglot.expressions.TimeTrunc", "modulename": "sqlglot.expressions", "qualname": "TimeTrunc", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateFromParts": {"fullname": "sqlglot.expressions.DateFromParts", "modulename": "sqlglot.expressions", "qualname": "DateFromParts", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DateStrToDate": {"fullname": "sqlglot.expressions.DateStrToDate", "modulename": "sqlglot.expressions", "qualname": "DateStrToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DateToDateStr": {"fullname": "sqlglot.expressions.DateToDateStr", "modulename": "sqlglot.expressions", "qualname": "DateToDateStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DateToDi": {"fullname": "sqlglot.expressions.DateToDi", "modulename": "sqlglot.expressions", "qualname": "DateToDi", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Day": {"fullname": "sqlglot.expressions.Day", "modulename": "sqlglot.expressions", "qualname": "Day", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Decode": {"fullname": "sqlglot.expressions.Decode", "modulename": "sqlglot.expressions", "qualname": "Decode", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.DiToDate": {"fullname": "sqlglot.expressions.DiToDate", "modulename": "sqlglot.expressions", "qualname": "DiToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Encode": {"fullname": "sqlglot.expressions.Encode", "modulename": "sqlglot.expressions", "qualname": "Encode", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Exp": {"fullname": "sqlglot.expressions.Exp", "modulename": "sqlglot.expressions", "qualname": "Exp", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Explode": {"fullname": "sqlglot.expressions.Explode", "modulename": "sqlglot.expressions", "qualname": "Explode", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.ExponentialTimeDecayedAvg": {"fullname": "sqlglot.expressions.ExponentialTimeDecayedAvg", "modulename": "sqlglot.expressions", "qualname": "ExponentialTimeDecayedAvg", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Floor": {"fullname": "sqlglot.expressions.Floor", "modulename": "sqlglot.expressions", "qualname": "Floor", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Greatest": {"fullname": "sqlglot.expressions.Greatest", "modulename": "sqlglot.expressions", "qualname": "Greatest", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.GroupConcat": {"fullname": "sqlglot.expressions.GroupConcat", "modulename": "sqlglot.expressions", "qualname": "GroupConcat", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.GroupUniqArray": {"fullname": "sqlglot.expressions.GroupUniqArray", "modulename": "sqlglot.expressions", "qualname": "GroupUniqArray", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Hex": {"fullname": "sqlglot.expressions.Hex", "modulename": "sqlglot.expressions", "qualname": "Hex", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Histogram": {"fullname": "sqlglot.expressions.Histogram", "modulename": "sqlglot.expressions", "qualname": "Histogram", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.If": {"fullname": "sqlglot.expressions.If", "modulename": "sqlglot.expressions", "qualname": "If", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.IfNull": {"fullname": "sqlglot.expressions.IfNull", "modulename": "sqlglot.expressions", "qualname": "IfNull", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Initcap": {"fullname": "sqlglot.expressions.Initcap", "modulename": "sqlglot.expressions", "qualname": "Initcap", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.JSONKeyValue": {"fullname": "sqlglot.expressions.JSONKeyValue", "modulename": "sqlglot.expressions", "qualname": "JSONKeyValue", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.JSONObject": {"fullname": "sqlglot.expressions.JSONObject", "modulename": "sqlglot.expressions", "qualname": "JSONObject", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.JSONBContains": {"fullname": "sqlglot.expressions.JSONBContains", "modulename": "sqlglot.expressions", "qualname": "JSONBContains", "kind": "class", "doc": "\n", "bases": "Binary"}, "sqlglot.expressions.JSONExtract": {"fullname": "sqlglot.expressions.JSONExtract", "modulename": "sqlglot.expressions", "qualname": "JSONExtract", "kind": "class", "doc": "\n", "bases": "Binary, Func"}, "sqlglot.expressions.JSONExtractScalar": {"fullname": "sqlglot.expressions.JSONExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONExtractScalar", "kind": "class", "doc": "\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtract": {"fullname": "sqlglot.expressions.JSONBExtract", "modulename": "sqlglot.expressions", "qualname": "JSONBExtract", "kind": "class", "doc": "\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtractScalar": {"fullname": "sqlglot.expressions.JSONBExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONBExtractScalar", "kind": "class", "doc": "\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONFormat": {"fullname": "sqlglot.expressions.JSONFormat", "modulename": "sqlglot.expressions", "qualname": "JSONFormat", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Least": {"fullname": "sqlglot.expressions.Least", "modulename": "sqlglot.expressions", "qualname": "Least", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Length": {"fullname": "sqlglot.expressions.Length", "modulename": "sqlglot.expressions", "qualname": "Length", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Levenshtein": {"fullname": "sqlglot.expressions.Levenshtein", "modulename": "sqlglot.expressions", "qualname": "Levenshtein", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Ln": {"fullname": "sqlglot.expressions.Ln", "modulename": "sqlglot.expressions", "qualname": "Ln", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Log": {"fullname": "sqlglot.expressions.Log", "modulename": "sqlglot.expressions", "qualname": "Log", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Log2": {"fullname": "sqlglot.expressions.Log2", "modulename": "sqlglot.expressions", "qualname": "Log2", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Log10": {"fullname": "sqlglot.expressions.Log10", "modulename": "sqlglot.expressions", "qualname": "Log10", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.LogicalOr": {"fullname": "sqlglot.expressions.LogicalOr", "modulename": "sqlglot.expressions", "qualname": "LogicalOr", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.LogicalAnd": {"fullname": "sqlglot.expressions.LogicalAnd", "modulename": "sqlglot.expressions", "qualname": "LogicalAnd", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Lower": {"fullname": "sqlglot.expressions.Lower", "modulename": "sqlglot.expressions", "qualname": "Lower", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Map": {"fullname": "sqlglot.expressions.Map", "modulename": "sqlglot.expressions", "qualname": "Map", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StarMap": {"fullname": "sqlglot.expressions.StarMap", "modulename": "sqlglot.expressions", "qualname": "StarMap", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.VarMap": {"fullname": "sqlglot.expressions.VarMap", "modulename": "sqlglot.expressions", "qualname": "VarMap", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.MatchAgainst": {"fullname": "sqlglot.expressions.MatchAgainst", "modulename": "sqlglot.expressions", "qualname": "MatchAgainst", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Max": {"fullname": "sqlglot.expressions.Max", "modulename": "sqlglot.expressions", "qualname": "Max", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.MD5": {"fullname": "sqlglot.expressions.MD5", "modulename": "sqlglot.expressions", "qualname": "MD5", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Min": {"fullname": "sqlglot.expressions.Min", "modulename": "sqlglot.expressions", "qualname": "Min", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Month": {"fullname": "sqlglot.expressions.Month", "modulename": "sqlglot.expressions", "qualname": "Month", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Nvl2": {"fullname": "sqlglot.expressions.Nvl2", "modulename": "sqlglot.expressions", "qualname": "Nvl2", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Posexplode": {"fullname": "sqlglot.expressions.Posexplode", "modulename": "sqlglot.expressions", "qualname": "Posexplode", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Pow": {"fullname": "sqlglot.expressions.Pow", "modulename": "sqlglot.expressions", "qualname": "Pow", "kind": "class", "doc": "\n", "bases": "Binary, Func"}, "sqlglot.expressions.PercentileCont": {"fullname": "sqlglot.expressions.PercentileCont", "modulename": "sqlglot.expressions", "qualname": "PercentileCont", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.PercentileDisc": {"fullname": "sqlglot.expressions.PercentileDisc", "modulename": "sqlglot.expressions", "qualname": "PercentileDisc", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantile": {"fullname": "sqlglot.expressions.Quantile", "modulename": "sqlglot.expressions", "qualname": "Quantile", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantiles": {"fullname": "sqlglot.expressions.Quantiles", "modulename": "sqlglot.expressions", "qualname": "Quantiles", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.QuantileIf": {"fullname": "sqlglot.expressions.QuantileIf", "modulename": "sqlglot.expressions", "qualname": "QuantileIf", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxQuantile": {"fullname": "sqlglot.expressions.ApproxQuantile", "modulename": "sqlglot.expressions", "qualname": "ApproxQuantile", "kind": "class", "doc": "\n", "bases": "Quantile"}, "sqlglot.expressions.RangeN": {"fullname": "sqlglot.expressions.RangeN", "modulename": "sqlglot.expressions", "qualname": "RangeN", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.ReadCSV": {"fullname": "sqlglot.expressions.ReadCSV", "modulename": "sqlglot.expressions", "qualname": "ReadCSV", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Reduce": {"fullname": "sqlglot.expressions.Reduce", "modulename": "sqlglot.expressions", "qualname": "Reduce", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RegexpExtract": {"fullname": "sqlglot.expressions.RegexpExtract", "modulename": "sqlglot.expressions", "qualname": "RegexpExtract", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RegexpLike": {"fullname": "sqlglot.expressions.RegexpLike", "modulename": "sqlglot.expressions", "qualname": "RegexpLike", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RegexpILike": {"fullname": "sqlglot.expressions.RegexpILike", "modulename": "sqlglot.expressions", "qualname": "RegexpILike", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RegexpSplit": {"fullname": "sqlglot.expressions.RegexpSplit", "modulename": "sqlglot.expressions", "qualname": "RegexpSplit", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Repeat": {"fullname": "sqlglot.expressions.Repeat", "modulename": "sqlglot.expressions", "qualname": "Repeat", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Round": {"fullname": "sqlglot.expressions.Round", "modulename": "sqlglot.expressions", "qualname": "Round", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.RowNumber": {"fullname": "sqlglot.expressions.RowNumber", "modulename": "sqlglot.expressions", "qualname": "RowNumber", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.SafeDivide": {"fullname": "sqlglot.expressions.SafeDivide", "modulename": "sqlglot.expressions", "qualname": "SafeDivide", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.SetAgg": {"fullname": "sqlglot.expressions.SetAgg", "modulename": "sqlglot.expressions", "qualname": "SetAgg", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.SHA": {"fullname": "sqlglot.expressions.SHA", "modulename": "sqlglot.expressions", "qualname": "SHA", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.SHA2": {"fullname": "sqlglot.expressions.SHA2", "modulename": "sqlglot.expressions", "qualname": "SHA2", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.SortArray": {"fullname": "sqlglot.expressions.SortArray", "modulename": "sqlglot.expressions", "qualname": "SortArray", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Split": {"fullname": "sqlglot.expressions.Split", "modulename": "sqlglot.expressions", "qualname": "Split", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Substring": {"fullname": "sqlglot.expressions.Substring", "modulename": "sqlglot.expressions", "qualname": "Substring", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StrPosition": {"fullname": "sqlglot.expressions.StrPosition", "modulename": "sqlglot.expressions", "qualname": "StrPosition", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StrToDate": {"fullname": "sqlglot.expressions.StrToDate", "modulename": "sqlglot.expressions", "qualname": "StrToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StrToTime": {"fullname": "sqlglot.expressions.StrToTime", "modulename": "sqlglot.expressions", "qualname": "StrToTime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StrToUnix": {"fullname": "sqlglot.expressions.StrToUnix", "modulename": "sqlglot.expressions", "qualname": "StrToUnix", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.NumberToStr": {"fullname": "sqlglot.expressions.NumberToStr", "modulename": "sqlglot.expressions", "qualname": "NumberToStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Struct": {"fullname": "sqlglot.expressions.Struct", "modulename": "sqlglot.expressions", "qualname": "Struct", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.StructExtract": {"fullname": "sqlglot.expressions.StructExtract", "modulename": "sqlglot.expressions", "qualname": "StructExtract", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Sum": {"fullname": "sqlglot.expressions.Sum", "modulename": "sqlglot.expressions", "qualname": "Sum", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Sqrt": {"fullname": "sqlglot.expressions.Sqrt", "modulename": "sqlglot.expressions", "qualname": "Sqrt", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Stddev": {"fullname": "sqlglot.expressions.Stddev", "modulename": "sqlglot.expressions", "qualname": "Stddev", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevPop": {"fullname": "sqlglot.expressions.StddevPop", "modulename": "sqlglot.expressions", "qualname": "StddevPop", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevSamp": {"fullname": "sqlglot.expressions.StddevSamp", "modulename": "sqlglot.expressions", "qualname": "StddevSamp", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.TimeToStr": {"fullname": "sqlglot.expressions.TimeToStr", "modulename": "sqlglot.expressions", "qualname": "TimeToStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeToTimeStr": {"fullname": "sqlglot.expressions.TimeToTimeStr", "modulename": "sqlglot.expressions", "qualname": "TimeToTimeStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeToUnix": {"fullname": "sqlglot.expressions.TimeToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeToUnix", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToDate": {"fullname": "sqlglot.expressions.TimeStrToDate", "modulename": "sqlglot.expressions", "qualname": "TimeStrToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToTime": {"fullname": "sqlglot.expressions.TimeStrToTime", "modulename": "sqlglot.expressions", "qualname": "TimeStrToTime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToUnix": {"fullname": "sqlglot.expressions.TimeStrToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeStrToUnix", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Trim": {"fullname": "sqlglot.expressions.Trim", "modulename": "sqlglot.expressions", "qualname": "Trim", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsAdd": {"fullname": "sqlglot.expressions.TsOrDsAdd", "modulename": "sqlglot.expressions", "qualname": "TsOrDsAdd", "kind": "class", "doc": "\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TsOrDsToDateStr": {"fullname": "sqlglot.expressions.TsOrDsToDateStr", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDateStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsToDate": {"fullname": "sqlglot.expressions.TsOrDsToDate", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDate", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.TsOrDiToDi": {"fullname": "sqlglot.expressions.TsOrDiToDi", "modulename": "sqlglot.expressions", "qualname": "TsOrDiToDi", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Unhex": {"fullname": "sqlglot.expressions.Unhex", "modulename": "sqlglot.expressions", "qualname": "Unhex", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.UnixToStr": {"fullname": "sqlglot.expressions.UnixToStr", "modulename": "sqlglot.expressions", "qualname": "UnixToStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.UnixToTime": {"fullname": "sqlglot.expressions.UnixToTime", "modulename": "sqlglot.expressions", "qualname": "UnixToTime", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.UnixToTimeStr": {"fullname": "sqlglot.expressions.UnixToTimeStr", "modulename": "sqlglot.expressions", "qualname": "UnixToTimeStr", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Upper": {"fullname": "sqlglot.expressions.Upper", "modulename": "sqlglot.expressions", "qualname": "Upper", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Variance": {"fullname": "sqlglot.expressions.Variance", "modulename": "sqlglot.expressions", "qualname": "Variance", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.VariancePop": {"fullname": "sqlglot.expressions.VariancePop", "modulename": "sqlglot.expressions", "qualname": "VariancePop", "kind": "class", "doc": "\n", "bases": "AggFunc"}, "sqlglot.expressions.Week": {"fullname": "sqlglot.expressions.Week", "modulename": "sqlglot.expressions", "qualname": "Week", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.XMLTable": {"fullname": "sqlglot.expressions.XMLTable", "modulename": "sqlglot.expressions", "qualname": "XMLTable", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Year": {"fullname": "sqlglot.expressions.Year", "modulename": "sqlglot.expressions", "qualname": "Year", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.Use": {"fullname": "sqlglot.expressions.Use", "modulename": "sqlglot.expressions", "qualname": "Use", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.Merge": {"fullname": "sqlglot.expressions.Merge", "modulename": "sqlglot.expressions", "qualname": "Merge", "kind": "class", "doc": "\n", "bases": "Expression"}, "sqlglot.expressions.When": {"fullname": "sqlglot.expressions.When", "modulename": "sqlglot.expressions", "qualname": "When", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.NextValueFor": {"fullname": "sqlglot.expressions.NextValueFor", "modulename": "sqlglot.expressions", "qualname": "NextValueFor", "kind": "class", "doc": "\n", "bases": "Func"}, "sqlglot.expressions.maybe_parse": {"fullname": "sqlglot.expressions.maybe_parse", "modulename": "sqlglot.expressions", "qualname": "maybe_parse", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
Gracefully handle a possible string or expression.
\n\n\n\n\n\n\n\n>>> maybe_parse("1")\n(LITERAL this: 1, is_string: False)\n>>> maybe_parse(to_identifier("x"))\n(IDENTIFIER this: x, quoted: False)\n
\n\n", "signature": "(\tsql_or_expression: Union[str, sqlglot.expressions.Expression],\t*,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tprefix: Optional[str] = None,\tcopy: bool = False,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.union": {"fullname": "sqlglot.expressions.union", "modulename": "sqlglot.expressions", "qualname": "union", "kind": "function", "doc": "Expression: the parsed or given expression.
\n
Initializes a syntax tree from one UNION expression.
\n\n\n\n\n\n\n\n>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.\n\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.intersect": {"fullname": "sqlglot.expressions.intersect", "modulename": "sqlglot.expressions", "qualname": "intersect", "kind": "function", "doc": "Union: the syntax tree for the UNION expression.
\n
Initializes a syntax tree from one INTERSECT expression.
\n\n\n\n\n\n\n\n>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.\n\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.except_": {"fullname": "sqlglot.expressions.except_", "modulename": "sqlglot.expressions", "qualname": "except_", "kind": "function", "doc": "Intersect: the syntax tree for the INTERSECT expression.
\n
Initializes a syntax tree from one EXCEPT expression.
\n\n\n\n\n\n\n\n>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
Expression
instance is passed, it will be used as-is.Expression
instance is passed, it will be used as-is.\n\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.select": {"fullname": "sqlglot.expressions.select", "modulename": "sqlglot.expressions", "qualname": "select", "kind": "function", "doc": "Except: the syntax tree for the EXCEPT statement.
\n
Initializes a syntax tree from one or multiple SELECT expressions.
\n\n\n\n\n\n\n\n>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n
\n\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.from_": {"fullname": "sqlglot.expressions.from_", "modulename": "sqlglot.expressions", "qualname": "from_", "kind": "function", "doc": "Select: the syntax tree for the SELECT statement.
\n
Initializes a syntax tree from a FROM expression.
\n\n\n\n\n\n\n\n>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n
\n\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.update": {"fullname": "sqlglot.expressions.update", "modulename": "sqlglot.expressions", "qualname": "update", "kind": "function", "doc": "Select: the syntax tree for the SELECT statement.
\n
Creates an update statement.
\n\n\n\n\n\n\n\n>>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()\n"UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"\n
\n\n", "signature": "(\ttable: str | sqlglot.expressions.Table,\tproperties: dict,\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tfrom_: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Update:", "funcdef": "def"}, "sqlglot.expressions.delete": {"fullname": "sqlglot.expressions.delete", "modulename": "sqlglot.expressions", "qualname": "delete", "kind": "function", "doc": "Update: the syntax tree for the UPDATE statement.
\n
Builds a delete statement.
\n\n\n\n\n\n\n\n>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n
\n\n", "signature": "(\ttable: Union[str, sqlglot.expressions.Expression],\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\treturning: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.condition": {"fullname": "sqlglot.expressions.condition", "modulename": "sqlglot.expressions", "qualname": "condition", "kind": "function", "doc": "Delete: the syntax tree for the DELETE statement.
\n
Initialize a logical condition expression.
\n\n\n\n\n\n\n \n\n>>> condition("x=1").sql()\n'x = 1'\n
This is helpful for composing larger logical syntax trees:
\n \n\n\n\n>>> where = condition("x=1")\n>>> where = where.and_("y=1")\n>>> Select().from_("tbl").select("*").where(where).sql()\n'SELECT * FROM tbl WHERE x = 1 AND y = 1'\n
expression
(only applies to expressions).\n\n", "signature": "(\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.and_": {"fullname": "sqlglot.expressions.and_", "modulename": "sqlglot.expressions", "qualname": "and_", "kind": "function", "doc": "Condition: the expression
\n
Combine multiple conditions with an AND logical operator.
\n\n\n\n\n\n\n\n>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n
expressions
(only applies to Expressions).\n\n", "signature": "(*expressions, dialect=None, copy=True, **opts) -> sqlglot.expressions.And:", "funcdef": "def"}, "sqlglot.expressions.or_": {"fullname": "sqlglot.expressions.or_", "modulename": "sqlglot.expressions", "qualname": "or_", "kind": "function", "doc": "And: the new condition
\n
Combine multiple conditions with an OR logical operator.
\n\n\n\n\n\n\n\n>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n
expressions
(only applies to Expressions).\n\n", "signature": "(*expressions, dialect=None, copy=True, **opts) -> sqlglot.expressions.Or:", "funcdef": "def"}, "sqlglot.expressions.not_": {"fullname": "sqlglot.expressions.not_", "modulename": "sqlglot.expressions", "qualname": "not_", "kind": "function", "doc": "Or: the new condition
\n
Wrap a condition with a NOT operator.
\n\n\n\n\n\n\n\n>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n
\n\n", "signature": "(expression, dialect=None, copy=True, **opts) -> sqlglot.expressions.Not:", "funcdef": "def"}, "sqlglot.expressions.paren": {"fullname": "sqlglot.expressions.paren", "modulename": "sqlglot.expressions", "qualname": "paren", "kind": "function", "doc": "\n", "signature": "(expression, copy=True) -> sqlglot.expressions.Paren:", "funcdef": "def"}, "sqlglot.expressions.to_identifier": {"fullname": "sqlglot.expressions.to_identifier", "modulename": "sqlglot.expressions", "qualname": "to_identifier", "kind": "function", "doc": "Not: the new condition
\n
Builds an identifier.
\n\n\n\n", "signature": "(name, quoted=None):", "funcdef": "def"}, "sqlglot.expressions.to_interval": {"fullname": "sqlglot.expressions.to_interval", "modulename": "sqlglot.expressions", "qualname": "to_interval", "kind": "function", "doc": "The identifier ast node.
\n
Builds an interval expression from a string like '1 day' or '5 months'.
\n", "signature": "(\tinterval: str | sqlglot.expressions.Literal) -> sqlglot.expressions.Interval:", "funcdef": "def"}, "sqlglot.expressions.to_table": {"fullname": "sqlglot.expressions.to_table", "modulename": "sqlglot.expressions", "qualname": "to_table", "kind": "function", "doc": "Create a table expression from a [catalog].[schema].[table]
sql path. Catalog and schema are optional.\nIf a table is passed in then that table is returned.
[catalog].[schema].[table]
string.\n\n", "signature": "(\tsql_path: Union[str, sqlglot.expressions.Table, NoneType],\t**kwargs) -> Optional[sqlglot.expressions.Table]:", "funcdef": "def"}, "sqlglot.expressions.to_column": {"fullname": "sqlglot.expressions.to_column", "modulename": "sqlglot.expressions", "qualname": "to_column", "kind": "function", "doc": "A table expression.
\n
Create a column from a [table].[column]
sql path. Schema is optional.
If a column is passed in then that column is returned.
\n\n[table].[column]
string\n\n", "signature": "(\tsql_path: str | sqlglot.expressions.Column,\t**kwargs) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.alias_": {"fullname": "sqlglot.expressions.alias_", "modulename": "sqlglot.expressions", "qualname": "alias_", "kind": "function", "doc": "Table: A column expression
\n
Create an Alias expression.
\n\n\n\n\n\n\n \n\n>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n
\n\n\n>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n
\n\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: str | sqlglot.expressions.Identifier,\ttable: Union[bool, Sequence[str | sqlglot.expressions.Identifier]] = False,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.subquery": {"fullname": "sqlglot.expressions.subquery", "modulename": "sqlglot.expressions", "qualname": "subquery", "kind": "function", "doc": "Alias: the aliased expression
\n
Build a subquery expression.
\n\n\n\n\n\n\n\n>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n
\n\n", "signature": "(expression, alias=None, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.column": {"fullname": "sqlglot.expressions.column", "modulename": "sqlglot.expressions", "qualname": "column", "kind": "function", "doc": "Select: a new select with the subquery expression included
\n
Build a Column.
\n\n\n\n", "signature": "(\tcol: str | sqlglot.expressions.Identifier,\ttable: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tdb: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tcatalog: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tquoted: Optional[bool] = None) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.cast": {"fullname": "sqlglot.expressions.cast", "modulename": "sqlglot.expressions", "qualname": "cast", "kind": "function", "doc": "Column: column instance
\n
Cast an expression to a data type.
\n\n\n\n\n\n\n\n>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n
\n\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tto: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\t**opts) -> sqlglot.expressions.Cast:", "funcdef": "def"}, "sqlglot.expressions.table_": {"fullname": "sqlglot.expressions.table_", "modulename": "sqlglot.expressions", "qualname": "table_", "kind": "function", "doc": "A cast node.
\n
Build a Table.
\n\n\n\n", "signature": "(\ttable,\tdb=None,\tcatalog=None,\tquoted=None,\talias=None) -> sqlglot.expressions.Table:", "funcdef": "def"}, "sqlglot.expressions.values": {"fullname": "sqlglot.expressions.values", "modulename": "sqlglot.expressions", "qualname": "values", "kind": "function", "doc": "Table: table instance
\n
Build VALUES statement.
\n\n\n\n\n\n\n\n>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n
\n\n", "signature": "(\tvalues: Iterable[Tuple[Any, ...]],\talias: Optional[str] = None,\tcolumns: Union[Iterable[str], Dict[str, sqlglot.expressions.DataType], NoneType] = None) -> sqlglot.expressions.Values:", "funcdef": "def"}, "sqlglot.expressions.var": {"fullname": "sqlglot.expressions.var", "modulename": "sqlglot.expressions", "qualname": "var", "kind": "function", "doc": "Values: the Values expression object
\n
Build a SQL variable.
\n\n\n\n\n\n\n \n\n>>> repr(var('x'))\n'(VAR this: x)'\n
\n\n\n>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n
\n\n", "signature": "(\tname: Union[str, sqlglot.expressions.Expression, NoneType]) -> sqlglot.expressions.Var:", "funcdef": "def"}, "sqlglot.expressions.rename_table": {"fullname": "sqlglot.expressions.rename_table", "modulename": "sqlglot.expressions", "qualname": "rename_table", "kind": "function", "doc": "The new variable node.
\n
Build ALTER TABLE... RENAME... expression
\n\n\n\n", "signature": "(\told_name: str | sqlglot.expressions.Table,\tnew_name: str | sqlglot.expressions.Table) -> sqlglot.expressions.AlterTable:", "funcdef": "def"}, "sqlglot.expressions.convert": {"fullname": "sqlglot.expressions.convert", "modulename": "sqlglot.expressions", "qualname": "convert", "kind": "function", "doc": "Alter table expression
\n
Convert a python value into an expression object.
\n\nRaises an error if a conversion is not possible.
\n\nvalue
(only applies to Expressions and collections).\n\n", "signature": "(value: Any, copy: bool = False) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.replace_children": {"fullname": "sqlglot.expressions.replace_children", "modulename": "sqlglot.expressions", "qualname": "replace_children", "kind": "function", "doc": "Expression: the equivalent expression object.
\n
Replace children of an expression with the result of a lambda fun(child) -> exp.
\n", "signature": "(expression, fun, *args, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.column_table_names": {"fullname": "sqlglot.expressions.column_table_names", "modulename": "sqlglot.expressions", "qualname": "column_table_names", "kind": "function", "doc": "Return all table names referenced through columns in an expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))\n['c', 'a']\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.expressions.table_name": {"fullname": "sqlglot.expressions.table_name", "modulename": "sqlglot.expressions", "qualname": "table_name", "kind": "function", "doc": "list: A list of unique names
\n
Get the full name of a table as a string.
\n\n\n\n\n\n\n\n>>> from sqlglot import exp, parse_one\n>>> table_name(parse_one("select * from a.b.c").find(exp.Table))\n'a.b.c'\n
\n\n", "signature": "(table) -> str:", "funcdef": "def"}, "sqlglot.expressions.replace_tables": {"fullname": "sqlglot.expressions.replace_tables", "modulename": "sqlglot.expressions", "qualname": "replace_tables", "kind": "function", "doc": "The table name.
\n
Replace all tables in expression according to the mapping.
\n\n\n\n\n\n\n\n>>> from sqlglot import exp, parse_one\n>>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()\n'SELECT * FROM c'\n
\n\n", "signature": "(expression, mapping):", "funcdef": "def"}, "sqlglot.expressions.replace_placeholders": {"fullname": "sqlglot.expressions.replace_placeholders", "modulename": "sqlglot.expressions", "qualname": "replace_placeholders", "kind": "function", "doc": "The mapped expression.
\n
Replace placeholders in an expression.
\n\n\n\n\n\n\n\n>>> from sqlglot import exp, parse_one\n>>> replace_placeholders(\n... parse_one("select * from :tbl where ? = ?"),\n... exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")\n... ).sql()\n"SELECT * FROM foo WHERE str_col = 'b'"\n
\n\n", "signature": "(expression, *args, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.expand": {"fullname": "sqlglot.expressions.expand", "modulename": "sqlglot.expressions", "qualname": "expand", "kind": "function", "doc": "The mapped expression.
\n
Transforms an expression by expanding all referenced sources into subqueries.
\n\n\n\n\n\n\n \n\n>>> from sqlglot import parse_one\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()\n'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'\n
\n\n\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()\n'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'\n
\n\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tsources: Dict[str, sqlglot.expressions.Subqueryable],\tcopy: bool = True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.func": {"fullname": "sqlglot.expressions.func", "modulename": "sqlglot.expressions", "qualname": "func", "kind": "function", "doc": "The transformed expression.
\n
Returns a Func expression.
\n\n\n\n\n\n\n \n\n>>> func("abs", 5).sql()\n'ABS(5)'\n
\n\n\n>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n
\n\n\nThe arguments
\nargs
andkwargs
are mutually exclusive.
\n\n", "signature": "(\tname: str,\t*args,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.Func:", "funcdef": "def"}, "sqlglot.expressions.true": {"fullname": "sqlglot.expressions.true", "modulename": "sqlglot.expressions", "qualname": "true", "kind": "function", "doc": "An instance of the function of interest, or an anonymous function, if
\nname
doesn't\n correspond to an existingsqlglot.expressions.Func
class.
Returns a true Boolean expression.
\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.false": {"fullname": "sqlglot.expressions.false", "modulename": "sqlglot.expressions", "qualname": "false", "kind": "function", "doc": "Returns a false Boolean expression.
\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.null": {"fullname": "sqlglot.expressions.null", "modulename": "sqlglot.expressions", "qualname": "null", "kind": "function", "doc": "Returns a Null expression.
\n", "signature": "():", "funcdef": "def"}, "sqlglot.generator": {"fullname": "sqlglot.generator", "modulename": "sqlglot.generator", "kind": "module", "doc": "\n"}, "sqlglot.generator.Generator": {"fullname": "sqlglot.generator.Generator", "modulename": "sqlglot.generator", "qualname": "Generator", "kind": "class", "doc": "Generator interprets the given syntax tree and produces a SQL string as an output.
\n\nGenerates a SQL string by interpreting the given syntax tree.
\n\nArgs\n expression: the syntax tree.\n cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.
\n\nReturns\n the SQL string.
\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\tcache: Optional[Dict[int, str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unsupported": {"fullname": "sqlglot.generator.Generator.unsupported", "modulename": "sqlglot.generator", "qualname": "Generator.unsupported", "kind": "function", "doc": "\n", "signature": "(self, message: str) -> None:", "funcdef": "def"}, "sqlglot.generator.Generator.sep": {"fullname": "sqlglot.generator.Generator.sep", "modulename": "sqlglot.generator", "qualname": "Generator.sep", "kind": "function", "doc": "\n", "signature": "(self, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.seg": {"fullname": "sqlglot.generator.Generator.seg", "modulename": "sqlglot.generator", "qualname": "Generator.seg", "kind": "function", "doc": "\n", "signature": "(self, sql: str, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pad_comment": {"fullname": "sqlglot.generator.Generator.pad_comment", "modulename": "sqlglot.generator", "qualname": "Generator.pad_comment", "kind": "function", "doc": "\n", "signature": "(self, comment: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.maybe_comment": {"fullname": "sqlglot.generator.Generator.maybe_comment", "modulename": "sqlglot.generator", "qualname": "Generator.maybe_comment", "kind": "function", "doc": "\n", "signature": "(\tself,\tsql: str,\texpression: Optional[sqlglot.expressions.Expression] = None,\tcomments: Optional[List[str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.wrap": {"fullname": "sqlglot.generator.Generator.wrap", "modulename": "sqlglot.generator", "qualname": "Generator.wrap", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression | str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.no_identify": {"fullname": "sqlglot.generator.Generator.no_identify", "modulename": "sqlglot.generator", "qualname": "Generator.no_identify", "kind": "function", "doc": "\n", "signature": "(self, func: Callable[..., str], *args, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.normalize_func": {"fullname": "sqlglot.generator.Generator.normalize_func", "modulename": "sqlglot.generator", "qualname": "Generator.normalize_func", "kind": "function", "doc": "\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.indent": {"fullname": "sqlglot.generator.Generator.indent", "modulename": "sqlglot.generator", "qualname": "Generator.indent", "kind": "function", "doc": "\n", "signature": "(\tself,\tsql: str,\tlevel: int = 0,\tpad: Optional[int] = None,\tskip_first: bool = False,\tskip_last: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sql": {"fullname": "sqlglot.generator.Generator.sql", "modulename": "sqlglot.generator", "qualname": "Generator.sql", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, NoneType],\tkey: Optional[str] = None,\tcomment: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uncache_sql": {"fullname": "sqlglot.generator.Generator.uncache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uncache_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Uncache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cache_sql": {"fullname": "sqlglot.generator.Generator.cache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cache_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Cache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.characterset_sql": {"fullname": "sqlglot.generator.Generator.characterset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.characterset_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.CharacterSet) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.column_sql": {"fullname": "sqlglot.generator.Generator.column_sql", "modulename": "sqlglot.generator", "qualname": "Generator.column_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnposition_sql": {"fullname": "sqlglot.generator.Generator.columnposition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnposition_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ColumnPosition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columndef_sql": {"fullname": "sqlglot.generator.Generator.columndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columndef_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnconstraint_sql": {"fullname": "sqlglot.generator.Generator.columnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.autoincrementcolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.compresscolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.compresscolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.CompressColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.notnullcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.notnullcolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.NotNullColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.primarykeycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykeycolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.PrimaryKeyColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.uniquecolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uniquecolumnconstraint_sql", "kind": "function", "doc": "\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.create_sql": {"fullname": "sqlglot.generator.Generator.create_sql", "modulename": "sqlglot.generator", "qualname": "Generator.create_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.describe_sql": {"fullname": "sqlglot.generator.Generator.describe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.describe_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.prepend_ctes": {"fullname": "sqlglot.generator.Generator.prepend_ctes", "modulename": "sqlglot.generator", "qualname": "Generator.prepend_ctes", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression, sql: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_sql": {"fullname": "sqlglot.generator.Generator.with_sql", "modulename": "sqlglot.generator", "qualname": "Generator.with_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cte_sql": {"fullname": "sqlglot.generator.Generator.cte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cte_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablealias_sql": {"fullname": "sqlglot.generator.Generator.tablealias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablealias_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.TableAlias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitstring_sql": {"fullname": "sqlglot.generator.Generator.bitstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitstring_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.BitString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hexstring_sql": {"fullname": "sqlglot.generator.Generator.hexstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hexstring_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.HexString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bytestring_sql": {"fullname": "sqlglot.generator.Generator.bytestring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bytestring_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ByteString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatype_sql": {"fullname": "sqlglot.generator.Generator.datatype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatype_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.directory_sql": {"fullname": "sqlglot.generator.Generator.directory_sql", "modulename": "sqlglot.generator", "qualname": "Generator.directory_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Directory) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.delete_sql": {"fullname": "sqlglot.generator.Generator.delete_sql", "modulename": "sqlglot.generator", "qualname": "Generator.delete_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Delete) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.drop_sql": {"fullname": "sqlglot.generator.Generator.drop_sql", "modulename": "sqlglot.generator", "qualname": "Generator.drop_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Drop) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_sql": {"fullname": "sqlglot.generator.Generator.except_sql", "modulename": "sqlglot.generator", "qualname": "Generator.except_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_op": {"fullname": "sqlglot.generator.Generator.except_op", "modulename": "sqlglot.generator", "qualname": "Generator.except_op", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fetch_sql": {"fullname": "sqlglot.generator.Generator.fetch_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fetch_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Fetch) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.filter_sql": {"fullname": "sqlglot.generator.Generator.filter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.filter_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Filter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hint_sql": {"fullname": "sqlglot.generator.Generator.hint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Hint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.index_sql": {"fullname": "sqlglot.generator.Generator.index_sql", "modulename": "sqlglot.generator", "qualname": "Generator.index_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Index) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.identifier_sql": {"fullname": "sqlglot.generator.Generator.identifier_sql", "modulename": "sqlglot.generator", "qualname": "Generator.identifier_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Identifier) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.inputoutputformat_sql": {"fullname": "sqlglot.generator.Generator.inputoutputformat_sql", "modulename": "sqlglot.generator", "qualname": "Generator.inputoutputformat_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.InputOutputFormat) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.national_sql": {"fullname": "sqlglot.generator.Generator.national_sql", "modulename": "sqlglot.generator", "qualname": "Generator.national_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.National) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_sql": {"fullname": "sqlglot.generator.Generator.partition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Partition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties_sql": {"fullname": "sqlglot.generator.Generator.properties_sql", "modulename": "sqlglot.generator", "qualname": "Generator.properties_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.root_properties": {"fullname": "sqlglot.generator.Generator.root_properties", "modulename": "sqlglot.generator", "qualname": "Generator.root_properties", "kind": "function", "doc": "\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties": {"fullname": "sqlglot.generator.Generator.properties", "modulename": "sqlglot.generator", "qualname": "Generator.properties", "kind": "function", "doc": "\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties,\tprefix: str = '',\tsep: str = ', ',\tsuffix: str = '',\twrapped: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_properties": {"fullname": "sqlglot.generator.Generator.with_properties", "modulename": "sqlglot.generator", "qualname": "Generator.with_properties", "kind": "function", "doc": "\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.locate_properties": {"fullname": "sqlglot.generator.Generator.locate_properties", "modulename": "sqlglot.generator", "qualname": "Generator.locate_properties", "kind": "function", "doc": "\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties) -> 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Optional[List[str]] = None,\tflat: bool = False,\tindent: bool = True,\tsep: str = ', ',\tprefix: str = '') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.op_expressions": {"fullname": "sqlglot.generator.Generator.op_expressions", "modulename": "sqlglot.generator", "qualname": "Generator.op_expressions", "kind": "function", "doc": "\n", "signature": "(\tself,\top: str,\texpression: sqlglot.expressions.Expression,\tflat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.naked_property": {"fullname": "sqlglot.generator.Generator.naked_property", "modulename": "sqlglot.generator", "qualname": "Generator.naked_property", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_operation": {"fullname": "sqlglot.generator.Generator.set_operation", "modulename": "sqlglot.generator", "qualname": "Generator.set_operation", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Expression, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tag_sql": {"fullname": "sqlglot.generator.Generator.tag_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tag_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Tag) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.token_sql": {"fullname": "sqlglot.generator.Generator.token_sql", "modulename": "sqlglot.generator", "qualname": "Generator.token_sql", "kind": "function", "doc": "\n", "signature": "(self, token_type: sqlglot.tokens.TokenType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"fullname": "sqlglot.generator.Generator.userdefinedfunction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.userdefinedfunction_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.UserDefinedFunction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.joinhint_sql": {"fullname": "sqlglot.generator.Generator.joinhint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.joinhint_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.JoinHint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.kwarg_sql": {"fullname": "sqlglot.generator.Generator.kwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.kwarg_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Kwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.when_sql": {"fullname": "sqlglot.generator.Generator.when_sql", "modulename": "sqlglot.generator", "qualname": "Generator.when_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.When) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.merge_sql": {"fullname": "sqlglot.generator.Generator.merge_sql", "modulename": "sqlglot.generator", "qualname": "Generator.merge_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.Merge) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tochar_sql": {"fullname": "sqlglot.generator.Generator.tochar_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tochar_sql", "kind": "function", "doc": "\n", "signature": "(self, expression: sqlglot.expressions.ToChar) -> str:", "funcdef": "def"}, "sqlglot.helper": {"fullname": "sqlglot.helper", "modulename": "sqlglot.helper", "kind": "module", "doc": "\n"}, "sqlglot.helper.AutoName": {"fullname": "sqlglot.helper.AutoName", "modulename": "sqlglot.helper", "qualname": "AutoName", "kind": "class", "doc": "This is used for creating enum classes where auto()
is the string form of the corresponding value's name.
Returns the value in seq
at position index
, or None
if index
is out of bounds.
Ensures that a value is a list, otherwise casts or wraps it into one.
\n\n\n\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.ensure_collection": {"fullname": "sqlglot.helper.ensure_collection", "modulename": "sqlglot.helper", "qualname": "ensure_collection", "kind": "function", "doc": "The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
\n
Ensures that a value is a collection (excluding str
and bytes
), otherwise wraps it into a list.
\n\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.csv": {"fullname": "sqlglot.helper.csv", "modulename": "sqlglot.helper", "qualname": "csv", "kind": "function", "doc": "The value if it's a collection, or else the value wrapped in a list.
\n
Formats any number of string arguments as CSV.
\n\n\n\n", "signature": "(*args, sep: str = ', ') -> str:", "funcdef": "def"}, "sqlglot.helper.subclasses": {"fullname": "sqlglot.helper.subclasses", "modulename": "sqlglot.helper", "qualname": "subclasses", "kind": "function", "doc": "The arguments formatted as a CSV string.
\n
Returns all subclasses for a collection of classes, possibly excluding some of them.
\n\n\n\n", "signature": "(\tmodule_name: str,\tclasses: Union[Type, Tuple[Type, ...]],\texclude: Union[Type, Tuple[Type, ...]] = ()) -> List[Type]:", "funcdef": "def"}, "sqlglot.helper.apply_index_offset": {"fullname": "sqlglot.helper.apply_index_offset", "modulename": "sqlglot.helper", "qualname": "apply_index_offset", "kind": "function", "doc": "The target subclasses.
\n
Applies an offset to a given integer literal expression.
\n\n\n\n", "signature": "(\tthis: sqlglot.expressions.Expression,\texpressions: List[Optional[~E]],\toffset: int) -> List[Optional[~E]]:", "funcdef": "def"}, "sqlglot.helper.camel_to_snake_case": {"fullname": "sqlglot.helper.camel_to_snake_case", "modulename": "sqlglot.helper", "qualname": "camel_to_snake_case", "kind": "function", "doc": "The original expression with the offset applied to it, wrapped in a list. If the provided\n
\nexpressions
argument contains more than one expressions, it's returned unaffected.
Converts name
from camelCase to snake_case and returns the result.
Applies a transformation to a given expression until a fix point is reached.
\n\n\n\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfunc: Callable[[sqlglot.expressions.Expression], ~E]) -> ~E:", "funcdef": "def"}, "sqlglot.helper.tsort": {"fullname": "sqlglot.helper.tsort", "modulename": "sqlglot.helper", "qualname": "tsort", "kind": "function", "doc": "The transformed expression.
\n
Sorts a given directed acyclic graph in topological order.
\n\n\n\n", "signature": "(dag: Dict[~T, List[~T]]) -> List[~T]:", "funcdef": "def"}, "sqlglot.helper.open_file": {"fullname": "sqlglot.helper.open_file", "modulename": "sqlglot.helper", "qualname": "open_file", "kind": "function", "doc": "A list that contains all of the graph's nodes in topological order.
\n
Open a file that may be compressed as gzip and return it in universal newline mode.
\n", "signature": "(file_name: str) -> <class 'TextIO'>:", "funcdef": "def"}, "sqlglot.helper.csv_reader": {"fullname": "sqlglot.helper.csv_reader", "modulename": "sqlglot.helper", "qualname": "csv_reader", "kind": "function", "doc": "Returns a csv reader given the expression READ_CSV(name, ['delimiter', '|', ...])
.
ReadCSV
function call\n\n", "signature": "(read_csv: sqlglot.expressions.ReadCSV) -> Any:", "funcdef": "def"}, "sqlglot.helper.find_new_name": {"fullname": "sqlglot.helper.find_new_name", "modulename": "sqlglot.helper", "qualname": "find_new_name", "kind": "function", "doc": "A python csv reader.
\n
Searches for a new name.
\n\n\n\n", "signature": "(taken: Collection[str], base: str) -> str:", "funcdef": "def"}, "sqlglot.helper.object_to_dict": {"fullname": "sqlglot.helper.object_to_dict", "modulename": "sqlglot.helper", "qualname": "object_to_dict", "kind": "function", "doc": "The new, available name.
\n
Returns a dictionary created from an object's attributes.
\n", "signature": "(obj: Any, **kwargs) -> Dict:", "funcdef": "def"}, "sqlglot.helper.split_num_words": {"fullname": "sqlglot.helper.split_num_words", "modulename": "sqlglot.helper", "qualname": "split_num_words", "kind": "function", "doc": "Perform a split on a value and return N words as a result with None
used for words that don't exist.
None
values should be inserted at the start or end of the list.\n\n\n\n\n\n>>> split_num_words("db.table", ".", 3)\n[None, 'db', 'table']\n>>> split_num_words("db.table", ".", 3, fill_from_start=False)\n['db', 'table', None]\n>>> split_num_words("db.table", ".", 1)\n['db', 'table']\n
\n\n", "signature": "(\tvalue: str,\tsep: str,\tmin_num_words: int,\tfill_from_start: bool = True) -> List[Optional[str]]:", "funcdef": "def"}, "sqlglot.helper.is_iterable": {"fullname": "sqlglot.helper.is_iterable", "modulename": "sqlglot.helper", "qualname": "is_iterable", "kind": "function", "doc": "The list of words returned by
\nsplit
, possibly augmented by a number ofNone
values.
Checks if the value is an iterable, excluding the types str
and bytes
.
\n\n\n\n\n\n>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n
\n\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "sqlglot.helper.flatten": {"fullname": "sqlglot.helper.flatten", "modulename": "sqlglot.helper", "qualname": "flatten", "kind": "function", "doc": "A
\nbool
value indicating if it is an iterable.
Flattens an iterable that can contain both iterable and non-iterable elements. Objects of\ntype str
and bytes
are not regarded as iterables.
\n\n\n\n\n\n>>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))\n[1, 2, 3, 4, 5, 'bla']\n>>> list(flatten([1, 2, 3]))\n[1, 2, 3]\n
\n\n", "signature": "(values: Iterable[Union[Iterable[Any], Any]]) -> Iterator[Any]:", "funcdef": "def"}, "sqlglot.helper.count_params": {"fullname": "sqlglot.helper.count_params", "modulename": "sqlglot.helper", "qualname": "count_params", "kind": "function", "doc": "Non-iterable elements in
\nvalues
.
Returns the number of formal parameters expected by a function, without counting \"self\"\nand \"cls\", in case of instance and class methods, respectively.
\n", "signature": "(function: Callable) -> int:", "funcdef": "def"}, "sqlglot.helper.dict_depth": {"fullname": "sqlglot.helper.dict_depth", "modulename": "sqlglot.helper", "qualname": "dict_depth", "kind": "function", "doc": "Get the nesting depth of a dictionary.
\n\n\n\n\n\n\n\n>>> dict_depth(None)\n0\n>>> dict_depth({})\n1\n>>> dict_depth({"a": "b"})\n1\n>>> dict_depth({"a": {}})\n2\n>>> dict_depth({"a": {"b": {}}})\n3\n
\n\n", "signature": "(d: Dict) -> int:", "funcdef": "def"}, "sqlglot.helper.first": {"fullname": "sqlglot.helper.first", "modulename": "sqlglot.helper", "qualname": "first", "kind": "function", "doc": "int: depth
\n
Returns the first element from an iterable.
\n\nUseful for sets.
\n", "signature": "(it: Iterable[~T]) -> ~T:", "funcdef": "def"}, "sqlglot.helper.should_identify": {"fullname": "sqlglot.helper.should_identify", "modulename": "sqlglot.helper", "qualname": "should_identify", "kind": "function", "doc": "Checks if text should be identified given an identify option.
\n\n\n\n", "signature": "(text: str, identify: str | bool) -> bool:", "funcdef": "def"}, "sqlglot.lineage": {"fullname": "sqlglot.lineage", "modulename": "sqlglot.lineage", "kind": "module", "doc": "\n"}, "sqlglot.lineage.Node": {"fullname": "sqlglot.lineage.Node", "modulename": "sqlglot.lineage", "qualname": "Node", "kind": "class", "doc": "\n"}, "sqlglot.lineage.Node.__init__": {"fullname": "sqlglot.lineage.Node.__init__", "modulename": "sqlglot.lineage", "qualname": "Node.__init__", "kind": "function", "doc": "\n", "signature": "(\tname: str,\texpression: sqlglot.expressions.Expression,\tsource: sqlglot.expressions.Expression,\tdownstream: List[sqlglot.lineage.Node] = <factory>,\talias: str = '')"}, "sqlglot.lineage.Node.walk": {"fullname": "sqlglot.lineage.Node.walk", "modulename": "sqlglot.lineage", "qualname": "Node.walk", "kind": "function", "doc": "\n", "signature": "(self) -> Iterator[sqlglot.lineage.Node]:", "funcdef": "def"}, "sqlglot.lineage.Node.to_html": {"fullname": "sqlglot.lineage.Node.to_html", "modulename": "sqlglot.lineage", "qualname": "Node.to_html", "kind": "function", "doc": "\n", "signature": "(self, **opts) -> sqlglot.lineage.LineageHTML:", "funcdef": "def"}, "sqlglot.lineage.lineage": {"fullname": "sqlglot.lineage.lineage", "modulename": "sqlglot.lineage", "qualname": "lineage", "kind": "function", "doc": "Whether or not a string should be identified.
\n
Build the lineage graph for a column of a SQL query.
\n\n\n\n", "signature": "(\tcolumn: str | sqlglot.expressions.Column,\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tsources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,\trules: Sequence[Callable] = (<function qualify_tables at 0x7fc498defd00>, <function qualify_columns at 0x7fc498deeb90>, <function expand_laterals at 0x7fc498deef80>),\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node:", "funcdef": "def"}, "sqlglot.lineage.LineageHTML": {"fullname": "sqlglot.lineage.LineageHTML", "modulename": "sqlglot.lineage", "qualname": "LineageHTML", "kind": "class", "doc": "A lineage node.
\n
Node to HTML generator using vis.js.
\n\nhttps://visjs.github.io/vis-network/docs/network/
\n"}, "sqlglot.lineage.LineageHTML.__init__": {"fullname": "sqlglot.lineage.LineageHTML.__init__", "modulename": "sqlglot.lineage", "qualname": "LineageHTML.__init__", "kind": "function", "doc": "\n", "signature": "(\tnode: sqlglot.lineage.Node,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\timports: bool = True,\t**opts: Any)"}, "sqlglot.optimizer": {"fullname": "sqlglot.optimizer", "modulename": "sqlglot.optimizer", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.annotate_types.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "annotate_types", "kind": "function", "doc": "Recursively infer & annotate types in an expression syntax tree against a schema.\nAssumes that we've already executed the optimizer's qualify_columns step.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> schema = {"y": {"cola": "SMALLINT"}}\n>>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"\n>>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)\n>>> annotated_expr.expressions[0].type.this # Get the type of "x.cola + 2.5 AS cola"\n<Type.DOUBLE: 'DOUBLE'>\n
\n\n", "signature": "(expression, schema=None, annotators=None, coerces_to=None):", "funcdef": "def"}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator", "kind": "class", "doc": "\n"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.__init__", "kind": "function", "doc": "\n", "signature": "(schema=None, annotators=None, coerces_to=None)"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.annotate", "kind": "function", "doc": "\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.optimizer.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.canonicalize.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "canonicalize", "kind": "function", "doc": "sqlglot.Expression: expression annotated with types
\n
Converts a sql expression into a standard form.
\n\nThis method relies on annotate_types because many of the\nconversions rely on type inference.
\n\nRemove unused CTEs from an expression.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "WITH y AS (SELECT a FROM x) SELECT a FROM z"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_ctes(expression).sql()\n'SELECT a FROM z'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "eliminate_joins", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Remove unused joins from an expression.
\n\nThis only removes joins when we know that the join condition doesn't produce duplicate rows.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "SELECT x.a FROM x LEFT JOIN (SELECT DISTINCT y.b FROM y) AS y ON x.b = y.b"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_joins(expression).sql()\n'SELECT x.a FROM x'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins.join_condition": {"fullname": "sqlglot.optimizer.eliminate_joins.join_condition", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "join_condition", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Extract the join condition from a join expression.
\n\n\n\n", "signature": "(join):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "qualname": "eliminate_subqueries", "kind": "function", "doc": "tuple[list[str], list[str], exp.Expression]:\n Tuple of (source key, join key, remaining predicate)
\n
Rewrite derived tables as CTES, deduplicating if possible.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y'\n
\n\n\n\n\n\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y JOIN (SELECT * FROM x) AS z")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y JOIN y AS z'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.expand_laterals": {"fullname": "sqlglot.optimizer.expand_laterals", "modulename": "sqlglot.optimizer.expand_laterals", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"fullname": "sqlglot.optimizer.expand_laterals.expand_laterals", "modulename": "sqlglot.optimizer.expand_laterals", "qualname": "expand_laterals", "kind": "function", "doc": "sqlglot.Expression: expression
\n
Expand lateral column alias references.
\n\nThis assumes qualify_columns
as already run.
\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "SELECT x.a + 1 AS b, b + 1 AS c FROM x"\n>>> expression = sqlglot.parse_one(sql)\n>>> expand_laterals(expression).sql()\n'SELECT x.a + 1 AS b, x.a + 1 + 1 AS c FROM x'\n
\n\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.expand_multi_table_selects": {"fullname": "sqlglot.optimizer.expand_multi_table_selects", "modulename": "sqlglot.optimizer.expand_multi_table_selects", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"fullname": "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects", "modulename": "sqlglot.optimizer.expand_multi_table_selects", "qualname": "expand_multi_table_selects", "kind": "function", "doc": "optimized expression
\n
Replace multiple FROM expressions with JOINs.
\n\n\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "qualname": "isolate_table_selects", "kind": "function", "doc": "\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.lower_identities.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "qualname": "lower_identities", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> expand_multi_table_selects(parse_one("SELECT * FROM x, y")).sql()\n'SELECT * FROM x CROSS JOIN y'\n
Convert all unquoted identifiers to lower case.
\n\nAssuming the schema is all lower case, this essentially makes identifiers case-insensitive.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> lower_identities(expression).sql()\n'SELECT bar.a AS A FROM "Foo".bar'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_subqueries", "kind": "function", "doc": "sqlglot.Expression: quoted expression
\n
Rewrite sqlglot AST to merge derived tables into the outer query.
\n\nThis also merges CTEs if they are selected from only once.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT x.a FROM x) JOIN y")\n>>> merge_subqueries(expression).sql()\n'SELECT x.a FROM x JOIN y'\n
If leave_tables_isolated
is True, this will not merge inner queries into outer\nqueries if it would result in multiple table selects in a single query:
\n\n\n\n\n\n\nexpression = sqlglot.parse_one(\"SELECT a FROM (SELECT x.a FROM x) JOIN y\")\n merge_subqueries(expression, leave_tables_isolated=True).sql()\n 'SELECT a FROM (SELECT x.a FROM x) JOIN y'
\n
Inspired by https://dev.mysql.com/doc/refman/8.0/en/derived-table-optimization.html
\n\n\n\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_ctes", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_ctes", "kind": "function", "doc": "\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_derived_tables", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_derived_tables", "kind": "function", "doc": "\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize": {"fullname": "sqlglot.optimizer.normalize", "modulename": "sqlglot.optimizer.normalize", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.normalize.normalize": {"fullname": "sqlglot.optimizer.normalize.normalize", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalize", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Rewrite sqlglot AST into conjunctive normal form or disjunctive normal form.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("(x AND y) OR z")\n>>> normalize(expression, dnf=False).sql()\n'(x OR z) AND (y OR z)'\n
\n\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tdnf: bool = False,\tmax_distance: int = 128):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalized": {"fullname": "sqlglot.optimizer.normalize.normalized", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalized", "kind": "function", "doc": "\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalization_distance": {"fullname": "sqlglot.optimizer.normalize.normalization_distance", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalization_distance", "kind": "function", "doc": "sqlglot.Expression: normalized expression
\n
The difference in the number of predicates between the current expression and the normalized form.
\n\nThis is used as an estimate of the cost of the conversion which is exponential in complexity.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n
\n\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.distributive_law": {"fullname": "sqlglot.optimizer.normalize.distributive_law", "modulename": "sqlglot.optimizer.normalize", "qualname": "distributive_law", "kind": "function", "doc": "int: difference
\n
x OR (y AND z) -> (x OR y) AND (x OR z)\n(x AND y) OR (y AND z) -> (x OR y) AND (x OR z) AND (y OR y) AND (y OR z)
\n", "signature": "(expression, dnf, max_distance, cache=None):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "optimize_joins", "kind": "function", "doc": "Removes cross joins if possible and reorder joins based on predicate dependencies.
\n\n\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"fullname": "sqlglot.optimizer.optimize_joins.reorder_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "reorder_joins", "kind": "function", "doc": "\n\n\n>>> from sqlglot import parse_one\n>>> optimize_joins(parse_one("SELECT * FROM x CROSS JOIN y JOIN z ON x.a = z.a AND y.a = z.a")).sql()\n'SELECT * FROM x JOIN z ON x.a = z.a AND TRUE JOIN y ON y.a = z.a'\n
Reorder joins by topological sort order based on predicate references.
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.normalize": {"fullname": "sqlglot.optimizer.optimize_joins.normalize", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "normalize", "kind": "function", "doc": "Remove INNER and OUTER from joins as they are optional.
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.other_table_names": {"fullname": "sqlglot.optimizer.optimize_joins.other_table_names", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "other_table_names", "kind": "function", "doc": "\n", "signature": "(join, exclude):", "funcdef": "def"}, "sqlglot.optimizer.optimizer": {"fullname": "sqlglot.optimizer.optimizer", "modulename": "sqlglot.optimizer.optimizer", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.optimizer.optimize": {"fullname": "sqlglot.optimizer.optimizer.optimize", "modulename": "sqlglot.optimizer.optimizer", "qualname": "optimize", "kind": "function", "doc": "Rewrite a sqlglot AST into an optimized form.
\n\nsqlglot.optimizer.Schema
or a mapping in one of\nthe following forms:\n 1. {table: {col: type}}\n 2. {db: {table: {col: type}}}\n 3. {catalog: {db: {table: {col: type}}}}\nIf no schema is provided then the default schema defined at sqlgot.schema
will be usedUSE DATABASE db
statementUSE CATALOG c
statement\n\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\trules: Sequence[Callable] = (<function lower_identities at 0x7fc498ded5a0>, <function qualify_tables at 0x7fc498defd00>, <function isolate_table_selects at 0x7fc498ded480>, <function qualify_columns at 0x7fc498deeb90>, <function pushdown_projections at 0x7fc498def6d0>, <function validate_qualify_columns at 0x7fc498def010>, <function normalize at 0x7fc498dc71c0>, <function unnest_subqueries at 0x7fc498defe20>, <function expand_multi_table_selects at 0x7fc498ded3f0>, <function pushdown_predicates at 0x7fc498dee710>, <function optimize_joins at 0x7fc498dee320>, <function eliminate_subqueries at 0x7fc498ded000>, <function merge_subqueries at 0x7fc498ded870>, <function eliminate_joins at 0x7fc498dc6f80>, <function eliminate_ctes at 0x7fc498dc6e60>, <function annotate_types at 0x7fc498d935b0>, <function canonicalize at 0x7fc498dc68c0>, <function simplify at 0x7fc498dc7370>),\t**kwargs):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_predicates", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Rewrite sqlglot AST to pushdown predicates in FROMS and JOINS
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "SELECT * FROM (SELECT * FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT * FROM (SELECT * FROM x AS x WHERE y.a = 1) AS y WHERE TRUE'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown", "kind": "function", "doc": "\n", "signature": "(condition, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_cnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_cnf", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
If the predicates are in CNF like form, we can simply replace each block in the parent.
\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_dnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_dnf", "kind": "function", "doc": "If the predicates are in DNF form, we can only push down conditions that are in all blocks.\nAdditionally, we can't remove predicates from their original form.
\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"fullname": "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "nodes_for_predicate", "kind": "function", "doc": "\n", "signature": "(predicate, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"fullname": "sqlglot.optimizer.pushdown_predicates.replace_aliases", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "replace_aliases", "kind": "function", "doc": "\n", "signature": "(source, predicate):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"fullname": "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "DEFAULT_SELECTION", "kind": "function", "doc": "\n", "signature": "():", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "pushdown_projections", "kind": "function", "doc": "Rewrite sqlglot AST to remove unused columns projections.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a, x.b AS b FROM x) AS y"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_projections(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x) AS y'\n
\n\n", "signature": "(expression, schema=None, remove_unused_selections=True):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "qualify_columns", "kind": "function", "doc": "sqlglot.Expression: optimized expression
\n
Rewrite sqlglot AST to have fully qualified columns.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify_columns(expression, schema).sql()\n'SELECT tbl.col AS col FROM tbl'\n
\n\n", "signature": "(expression, schema, expand_laterals=True):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.validate_qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "validate_qualify_columns", "kind": "function", "doc": "sqlglot.Expression: qualified expression
\n
Raise an OptimizeError
if any columns aren't qualified
Helper for resolving columns.
\n\nThis is a class so we can lazily load some things and easily share them across functions.
\n"}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.__init__", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.__init__", "kind": "function", "doc": "\n", "signature": "(scope, schema)"}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_table", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_table", "kind": "function", "doc": "Get the table for a column name.
\n\n\n\n", "signature": "(self, column_name: str) -> Optional[sqlglot.expressions.Identifier]:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.all_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.all_columns", "kind": "variable", "doc": "The table name if it can be found/inferred.
\n
All available columns of all sources in this scope
\n"}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_source_columns", "kind": "function", "doc": "Resolve the source columns for a given source name
Rewrite sqlglot AST to have fully qualified tables.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT 1 FROM tbl")\n>>> qualify_tables(expression, db="db").sql()\n'SELECT 1 FROM db.tbl AS tbl'\n
\n\n", "signature": "(expression, db=None, catalog=None, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.scope": {"fullname": "sqlglot.optimizer.scope", "modulename": "sqlglot.optimizer.scope", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.scope.ScopeType": {"fullname": "sqlglot.optimizer.scope.ScopeType", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType", "kind": "class", "doc": "sqlglot.Expression: qualified expression
\n
An enumeration.
\n", "bases": "enum.Enum"}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"fullname": "sqlglot.optimizer.scope.ScopeType.ROOT", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.ROOT", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.ROOT: 1>"}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"fullname": "sqlglot.optimizer.scope.ScopeType.SUBQUERY", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.SUBQUERY", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.SUBQUERY: 2>"}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"fullname": "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.DERIVED_TABLE", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.DERIVED_TABLE: 3>"}, "sqlglot.optimizer.scope.ScopeType.CTE": {"fullname": "sqlglot.optimizer.scope.ScopeType.CTE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.CTE", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.CTE: 4>"}, "sqlglot.optimizer.scope.ScopeType.UNION": {"fullname": "sqlglot.optimizer.scope.ScopeType.UNION", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UNION", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.UNION: 5>"}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"fullname": "sqlglot.optimizer.scope.ScopeType.UDTF", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UDTF", "kind": "variable", "doc": "\n", "default_value": "<ScopeType.UDTF: 6>"}, "sqlglot.optimizer.scope.Scope": {"fullname": "sqlglot.optimizer.scope.Scope", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope", "kind": "class", "doc": "Selection scope.
\n\n[\"col1\", \"col2\"]
for its outer_column_list
Branch from the current scope to a new, inner scope
\n", "signature": "(self, expression, scope_type, chain_sources=None, **kwargs):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.walk": {"fullname": "sqlglot.optimizer.scope.Scope.walk", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.walk", "kind": "function", "doc": "\n", "signature": "(self, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find": {"fullname": "sqlglot.optimizer.scope.Scope.find", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find", "kind": "function", "doc": "Returns the first node in this scope which matches at least one of the specified types.
\n\nThis does NOT traverse into subscopes.
\n\n\n\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find_all": {"fullname": "sqlglot.optimizer.scope.Scope.find_all", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find_all", "kind": "function", "doc": "exp.Expression: the node which matches the criteria or None if no node matching\n the criteria was found.
\n
Returns a generator object which visits all nodes in this scope and only yields those that\nmatch at least one of the specified expression types.
\n\nThis does NOT traverse into subscopes.
\n\n\n\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.replace": {"fullname": "sqlglot.optimizer.scope.Scope.replace", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.replace", "kind": "function", "doc": "exp.Expression: nodes
\n
Replace old
with new
.
This can be used instead of exp.Expression.replace
to ensure the Scope
is kept up-to-date.
List of tables in this scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.ctes": {"fullname": "sqlglot.optimizer.scope.Scope.ctes", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ctes", "kind": "variable", "doc": "list[exp.Table]: tables
\n
List of CTEs in this scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.derived_tables": {"fullname": "sqlglot.optimizer.scope.Scope.derived_tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.derived_tables", "kind": "variable", "doc": "list[exp.CTE]: ctes
\n
List of derived tables in this scope.
\n\n\n\n\nSELECT * FROM (SELECT ...) <- that's a derived table
\n
\n\n"}, "sqlglot.optimizer.scope.Scope.udtfs": {"fullname": "sqlglot.optimizer.scope.Scope.udtfs", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.udtfs", "kind": "variable", "doc": "list[exp.Subquery]: derived tables
\n
List of \"User Defined Tabular Functions\" in this scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.subqueries": {"fullname": "sqlglot.optimizer.scope.Scope.subqueries", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.subqueries", "kind": "variable", "doc": "list[exp.UDTF]: UDTFs
\n
List of subqueries in this scope.
\n\n\n\n\nSELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery
\n
\n\n"}, "sqlglot.optimizer.scope.Scope.columns": {"fullname": "sqlglot.optimizer.scope.Scope.columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.columns", "kind": "variable", "doc": "list[exp.Subqueryable]: subqueries
\n
List of columns in this scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.selected_sources": {"fullname": "sqlglot.optimizer.scope.Scope.selected_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selected_sources", "kind": "variable", "doc": "list[exp.Column]: Column instances in this scope, plus any\n Columns that reference this scope from correlated subqueries.
\n
Mapping of nodes and sources that are actually selected from in this scope.
\n\nThat is, all tables in a schema are selectable at any point. But a\ntable only becomes a selected source if it's included in a FROM or JOIN clause.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.cte_sources": {"fullname": "sqlglot.optimizer.scope.Scope.cte_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.cte_sources", "kind": "variable", "doc": "dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes
\n
Sources that are CTEs.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.selects": {"fullname": "sqlglot.optimizer.scope.Scope.selects", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selects", "kind": "variable", "doc": "dict[str, Scope]: Mapping of source alias to Scope
\n
Select expressions of this scope.
\n\nFor example, for the following expression:\n SELECT 1 as a, 2 as b FROM x
\n\nThe outputs are the \"1 as a\" and \"2 as b\" expressions.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.external_columns": {"fullname": "sqlglot.optimizer.scope.Scope.external_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.external_columns", "kind": "variable", "doc": "list[exp.Expression]: expressions
\n
Columns that appear to reference sources in outer scopes.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"fullname": "sqlglot.optimizer.scope.Scope.unqualified_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.unqualified_columns", "kind": "variable", "doc": "list[exp.Column]: Column instances that don't reference\n sources in the current scope.
\n
Unqualified columns in the current scope.
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.join_hints": {"fullname": "sqlglot.optimizer.scope.Scope.join_hints", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.join_hints", "kind": "variable", "doc": "list[exp.Column]: Unqualified columns
\n
Hints that exist in the scope that reference tables
\n\n\n\n"}, "sqlglot.optimizer.scope.Scope.source_columns": {"fullname": "sqlglot.optimizer.scope.Scope.source_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.source_columns", "kind": "function", "doc": "list[exp.JoinHint]: Join hints that are referenced within the scope
\n
Get all columns in the current scope for a particular source.
\n\n\n\n", "signature": "(self, source_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.is_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_subquery", "kind": "variable", "doc": "list[exp.Column]: Column instances that reference
\nsource_name
Determine if this scope is a subquery
\n"}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"fullname": "sqlglot.optimizer.scope.Scope.is_derived_table", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_derived_table", "kind": "variable", "doc": "Determine if this scope is a derived table
\n"}, "sqlglot.optimizer.scope.Scope.is_union": {"fullname": "sqlglot.optimizer.scope.Scope.is_union", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_union", "kind": "variable", "doc": "Determine if this scope is a union
\n"}, "sqlglot.optimizer.scope.Scope.is_cte": {"fullname": "sqlglot.optimizer.scope.Scope.is_cte", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_cte", "kind": "variable", "doc": "Determine if this scope is a common table expression
\n"}, "sqlglot.optimizer.scope.Scope.is_root": {"fullname": "sqlglot.optimizer.scope.Scope.is_root", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_root", "kind": "variable", "doc": "Determine if this is the root scope
\n"}, "sqlglot.optimizer.scope.Scope.is_udtf": {"fullname": "sqlglot.optimizer.scope.Scope.is_udtf", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_udtf", "kind": "variable", "doc": "Determine if this scope is a UDTF (User Defined Table Function)
\n"}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_correlated_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_correlated_subquery", "kind": "variable", "doc": "Determine if this scope is a correlated subquery
\n"}, "sqlglot.optimizer.scope.Scope.rename_source": {"fullname": "sqlglot.optimizer.scope.Scope.rename_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.rename_source", "kind": "function", "doc": "Rename a source in this scope
\n", "signature": "(self, old_name, new_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.add_source": {"fullname": "sqlglot.optimizer.scope.Scope.add_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.add_source", "kind": "function", "doc": "Add a source to this scope
\n", "signature": "(self, name, source):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.remove_source": {"fullname": "sqlglot.optimizer.scope.Scope.remove_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.remove_source", "kind": "function", "doc": "Remove a source from this scope
\n", "signature": "(self, name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.traverse": {"fullname": "sqlglot.optimizer.scope.Scope.traverse", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.traverse", "kind": "function", "doc": "Traverse the scope tree from this node.
\n\n\n\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.ref_count": {"fullname": "sqlglot.optimizer.scope.Scope.ref_count", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ref_count", "kind": "function", "doc": "Scope: scope instances in depth-first-search post-order
\n
Count the number of times each scope in this tree is referenced.
\n\n\n\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.traverse_scope": {"fullname": "sqlglot.optimizer.scope.traverse_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "traverse_scope", "kind": "function", "doc": "dict[int, int]: Mapping of Scope instance ID to reference count
\n
Traverse an expression by it's \"scopes\".
\n\n\"Scope\" represents the current context of a Select statement.
\n\nThis is helpful for optimizing queries, where we need more information than\nthe expression tree itself. For example, we might care about the source\nnames within a subquery. Returns a list because a generator could result in\nincomplete properties which is confusing.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")\n>>> scopes = traverse_scope(expression)\n>>> scopes[0].expression.sql(), list(scopes[0].sources)\n('SELECT a FROM x', ['x'])\n>>> scopes[1].expression.sql(), list(scopes[1].sources)\n('SELECT a FROM (SELECT a FROM x) AS y', ['y'])\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.build_scope": {"fullname": "sqlglot.optimizer.scope.build_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "build_scope", "kind": "function", "doc": "list[Scope]: scope instances
\n
Build a scope tree.
\n\n\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.walk_in_scope": {"fullname": "sqlglot.optimizer.scope.walk_in_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "walk_in_scope", "kind": "function", "doc": "Scope: root scope
\n
Returns a generator object which visits all nodes in the syntrax tree, stopping at\nnodes that start child scopes.
\n\n\n\n", "signature": "(expression, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify": {"fullname": "sqlglot.optimizer.simplify", "modulename": "sqlglot.optimizer.simplify", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.simplify.simplify": {"fullname": "sqlglot.optimizer.simplify.simplify", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify", "kind": "function", "doc": "tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key
\n
Rewrite sqlglot AST to simplify expressions.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.rewrite_between": {"fullname": "sqlglot.optimizer.simplify.rewrite_between", "modulename": "sqlglot.optimizer.simplify", "qualname": "rewrite_between", "kind": "function", "doc": "sqlglot.Expression: simplified expression
\n
Rewrite x between y and z to x >= y AND x <= z.
\n\nThis is done because comparison simplification is only done on lt/lte/gt/gte.
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_not": {"fullname": "sqlglot.optimizer.simplify.simplify_not", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_not", "kind": "function", "doc": "Demorgan's Law\nNOT (x OR y) -> NOT x AND NOT y\nNOT (x AND y) -> NOT x OR NOT y
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.flatten": {"fullname": "sqlglot.optimizer.simplify.flatten", "modulename": "sqlglot.optimizer.simplify", "qualname": "flatten", "kind": "function", "doc": "A AND (B AND C) -> A AND B AND C\nA OR (B OR C) -> A OR B OR C
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_connectors": {"fullname": "sqlglot.optimizer.simplify.simplify_connectors", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_connectors", "kind": "function", "doc": "\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_compliments": {"fullname": "sqlglot.optimizer.simplify.remove_compliments", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_compliments", "kind": "function", "doc": "Removing compliments.
\n\nA AND NOT A -> FALSE\nA OR NOT A -> TRUE
\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.uniq_sort": {"fullname": "sqlglot.optimizer.simplify.uniq_sort", "modulename": "sqlglot.optimizer.simplify", "qualname": "uniq_sort", "kind": "function", "doc": "Uniq and sort a connector.
\n\nC AND A AND B AND B -> A AND B AND C
\n", "signature": "(expression, cache=None, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"fullname": "sqlglot.optimizer.simplify.absorb_and_eliminate", "modulename": "sqlglot.optimizer.simplify", "qualname": "absorb_and_eliminate", "kind": "function", "doc": "absorption:\n A AND (A OR B) -> A\n A OR (A AND B) -> A\n A AND (NOT A OR B) -> A AND B\n A OR (NOT A AND B) -> A OR B\nelimination:\n (A AND B) OR (A AND NOT B) -> A\n (A OR B) AND (A OR NOT B) -> A
\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_literals": {"fullname": "sqlglot.optimizer.simplify.simplify_literals", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_literals", "kind": "function", "doc": "\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_parens": {"fullname": "sqlglot.optimizer.simplify.simplify_parens", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_parens", "kind": "function", "doc": "\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_where_true": {"fullname": "sqlglot.optimizer.simplify.remove_where_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_where_true", "kind": "function", "doc": "\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.always_true": {"fullname": "sqlglot.optimizer.simplify.always_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "always_true", "kind": "function", "doc": "\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_complement": {"fullname": "sqlglot.optimizer.simplify.is_complement", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_complement", "kind": "function", "doc": "\n", "signature": "(a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_false": {"fullname": "sqlglot.optimizer.simplify.is_false", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_false", "kind": "function", "doc": "\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_null": {"fullname": "sqlglot.optimizer.simplify.is_null", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_null", "kind": "function", "doc": "\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.eval_boolean": {"fullname": "sqlglot.optimizer.simplify.eval_boolean", "modulename": "sqlglot.optimizer.simplify", "qualname": "eval_boolean", "kind": "function", "doc": "\n", "signature": "(expression, a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_date": {"fullname": "sqlglot.optimizer.simplify.extract_date", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_date", "kind": "function", "doc": "\n", "signature": "(cast):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_interval": {"fullname": "sqlglot.optimizer.simplify.extract_interval", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_interval", "kind": "function", "doc": "\n", "signature": "(interval):", "funcdef": "def"}, "sqlglot.optimizer.simplify.date_literal": {"fullname": "sqlglot.optimizer.simplify.date_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "date_literal", "kind": "function", "doc": "\n", "signature": "(date):", "funcdef": "def"}, "sqlglot.optimizer.simplify.boolean_literal": {"fullname": "sqlglot.optimizer.simplify.boolean_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "boolean_literal", "kind": "function", "doc": "\n", "signature": "(condition):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "kind": "module", "doc": "\n"}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest_subqueries", "kind": "function", "doc": "Rewrite sqlglot AST to convert some predicates with subqueries into joins.
\n\nConvert scalar subqueries into cross joins.\nConvert correlated or vectorized subqueries into a group by so it is not a many to many left join.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT * FROM x AS x WHERE (SELECT y.a AS a FROM y AS y WHERE x.a = y.a) = 1 ")\n>>> unnest_subqueries(expression).sql()\n'SELECT * FROM x AS x LEFT JOIN (SELECT y.a AS a FROM y AS y WHERE TRUE GROUP BY y.a) AS _u_0 ON x.a = _u_0.a WHERE _u_0.a = 1'\n
\n\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.unnest": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest", "kind": "function", "doc": "\n", "signature": "(select, parent_select, sequence):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"fullname": "sqlglot.optimizer.unnest_subqueries.decorrelate", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "decorrelate", "kind": "function", "doc": "\n", "signature": "(select, parent_select, external_columns, sequence):", "funcdef": "def"}, "sqlglot.parser": {"fullname": "sqlglot.parser", "modulename": "sqlglot.parser", "kind": "module", "doc": "\n"}, "sqlglot.parser.parse_var_map": {"fullname": "sqlglot.parser.parse_var_map", "modulename": "sqlglot.parser", "qualname": "parse_var_map", "kind": "function", "doc": "\n", "signature": "(args: Sequence) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.parser.parse_like": {"fullname": "sqlglot.parser.parse_like", "modulename": "sqlglot.parser", "qualname": "parse_like", "kind": "function", "doc": "\n", "signature": "(args):", "funcdef": "def"}, "sqlglot.parser.binary_range_parser": {"fullname": "sqlglot.parser.binary_range_parser", "modulename": "sqlglot.parser", "qualname": "binary_range_parser", "kind": "function", "doc": "\n", "signature": "(\texpr_type: Type[sqlglot.expressions.Expression]) -> Callable[[sqlglot.parser.Parser, Optional[sqlglot.expressions.Expression]], Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser": {"fullname": "sqlglot.parser.Parser", "modulename": "sqlglot.parser", "qualname": "Parser", "kind": "class", "doc": "sqlglot.Expression: unnested expression
\n
Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer
and produces\na parsed syntax tree.
Parses a list of tokens and returns a list of syntax trees, one tree\nper parsed SQL statement.
\n\n\n\n", "signature": "(\tself,\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.parse_into": {"fullname": "sqlglot.parser.Parser.parse_into", "modulename": "sqlglot.parser", "qualname": "Parser.parse_into", "kind": "function", "doc": "The list of syntax trees.
\n
Parses a list of tokens into a given Expression type. If a collection of Expression\ntypes is given instead, this method will try to parse the token list into each one\nof them, stopping at the first for which the parsing succeeds.
\n\n\n\n", "signature": "(\tself,\texpression_types: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.check_errors": {"fullname": "sqlglot.parser.Parser.check_errors", "modulename": "sqlglot.parser", "qualname": "Parser.check_errors", "kind": "function", "doc": "The target Expression.
\n
Logs or raises any found errors, depending on the chosen error level setting.
\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.raise_error": {"fullname": "sqlglot.parser.Parser.raise_error", "modulename": "sqlglot.parser", "qualname": "Parser.raise_error", "kind": "function", "doc": "Appends an error in the list of recorded errors or raises it, depending on the chosen\nerror level setting.
\n", "signature": "(self, message: str, token: Optional[sqlglot.tokens.Token] = None) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.expression": {"fullname": "sqlglot.parser.Parser.expression", "modulename": "sqlglot.parser", "qualname": "Parser.expression", "kind": "function", "doc": "Creates a new, validated Expression.
\n\n\n\n", "signature": "(\tself,\texp_class: Type[~E],\tcomments: Optional[List[str]] = None,\t**kwargs) -> ~E:", "funcdef": "def"}, "sqlglot.parser.Parser.validate_expression": {"fullname": "sqlglot.parser.Parser.validate_expression", "modulename": "sqlglot.parser", "qualname": "Parser.validate_expression", "kind": "function", "doc": "The target expression.
\n
Validates an already instantiated expression, making sure that all its mandatory arguments\nare set.
\n\nBuilds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:
\n\nSELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a
\n\nthe following DAG is produced (the expression IDs might differ per execution):
\n\n\n\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Step.add_dependency": {"fullname": "sqlglot.planner.Step.add_dependency", "modulename": "sqlglot.planner", "qualname": "Step.add_dependency", "kind": "function", "doc": "\n", "signature": "(self, dependency: sqlglot.planner.Step) -> None:", "funcdef": "def"}, "sqlglot.planner.Step.to_s": {"fullname": "sqlglot.planner.Step.to_s", "modulename": "sqlglot.planner", "qualname": "Step.to_s", "kind": "function", "doc": "\n", "signature": "(self, level: int = 0) -> str:", "funcdef": "def"}, "sqlglot.planner.Scan": {"fullname": "sqlglot.planner.Scan", "modulename": "sqlglot.planner", "qualname": "Scan", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.Scan.from_expression": {"fullname": "sqlglot.planner.Scan.from_expression", "modulename": "sqlglot.planner", "qualname": "Scan.from_expression", "kind": "function", "doc": "A Step DAG corresponding to
\nexpression
.
Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:
\n\nSELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a
\n\nthe following DAG is produced (the expression IDs might differ per execution):
\n\n\n\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Join": {"fullname": "sqlglot.planner.Join", "modulename": "sqlglot.planner", "qualname": "Join", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.Join.from_joins": {"fullname": "sqlglot.planner.Join.from_joins", "modulename": "sqlglot.planner", "qualname": "Join.from_joins", "kind": "function", "doc": "\n", "signature": "(\tcls,\tjoins: Iterable[sqlglot.expressions.Join],\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Aggregate": {"fullname": "sqlglot.planner.Aggregate", "modulename": "sqlglot.planner", "qualname": "Aggregate", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.Sort": {"fullname": "sqlglot.planner.Sort", "modulename": "sqlglot.planner", "qualname": "Sort", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.SetOperation": {"fullname": "sqlglot.planner.SetOperation", "modulename": "sqlglot.planner", "qualname": "SetOperation", "kind": "class", "doc": "\n", "bases": "Step"}, "sqlglot.planner.SetOperation.__init__": {"fullname": "sqlglot.planner.SetOperation.__init__", "modulename": "sqlglot.planner", "qualname": "SetOperation.__init__", "kind": "function", "doc": "\n", "signature": "(\top: Type[sqlglot.expressions.Expression],\tleft: str | None,\tright: str | None,\tdistinct: bool = False)"}, "sqlglot.planner.SetOperation.from_expression": {"fullname": "sqlglot.planner.SetOperation.from_expression", "modulename": "sqlglot.planner", "qualname": "SetOperation.from_expression", "kind": "function", "doc": "A Step DAG corresponding to
\nexpression
.
Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:
\n\nSELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a
\n\nthe following DAG is produced (the expression IDs might differ per execution):
\n\n\n\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.schema.Schema": {"fullname": "sqlglot.schema.Schema", "modulename": "sqlglot.schema", "qualname": "Schema", "kind": "class", "doc": "A Step DAG corresponding to
\nexpression
.
Abstract base class for database schemas
\n", "bases": "abc.ABC"}, "sqlglot.schema.Schema.add_table": {"fullname": "sqlglot.schema.Schema.add_table", "modulename": "sqlglot.schema", "qualname": "Schema.add_table", "kind": "function", "doc": "Register or update a table. Some implementing classes may require column information to also be provided.
\n\nGet the column names for a table.
\n\nTable
expression instance.\n\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.Schema.get_column_type": {"fullname": "sqlglot.schema.Schema.get_column_type", "modulename": "sqlglot.schema", "qualname": "Schema.get_column_type", "kind": "function", "doc": "The list of column names.
\n
Get the sqlglot.exp.DataType
type of a column in the schema.
\n\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.Schema.supported_table_args": {"fullname": "sqlglot.schema.Schema.supported_table_args", "modulename": "sqlglot.schema", "qualname": "Schema.supported_table_args", "kind": "variable", "doc": "The resulting column type.
\n
Table arguments this schema support, e.g. (\"this\", \"db\", \"catalog\")
Abstract base class for generic types.
\n\nA generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::
\n\nclass Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.
\n\nThis class can then be used as follows::
\n\ndef lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default
\n", "bases": "typing.Generic[~T]"}, "sqlglot.schema.AbstractMappingSchema.__init__": {"fullname": "sqlglot.schema.AbstractMappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.__init__", "kind": "function", "doc": "\n", "signature": "(mapping: dict | None = None)"}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"fullname": "sqlglot.schema.AbstractMappingSchema.table_parts", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.table_parts", "kind": "function", "doc": "\n", "signature": "(self, table: sqlglot.expressions.Table) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.find": {"fullname": "sqlglot.schema.AbstractMappingSchema.find", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.find", "kind": "function", "doc": "\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table,\ttrie: Optional[Dict] = None,\traise_on_missing: bool = True) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema": {"fullname": "sqlglot.schema.MappingSchema", "modulename": "sqlglot.schema", "qualname": "MappingSchema", "kind": "class", "doc": "Schema based on a nested mapping.
\n\nRegister or update a table. Updates are only performed if a new column mapping is provided.
\n\nTable
expression instance or string representing the table.Get the column names for a table.
\n\nTable
expression instance.\n\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.get_column_type": {"fullname": "sqlglot.schema.MappingSchema.get_column_type", "modulename": "sqlglot.schema", "qualname": "MappingSchema.get_column_type", "kind": "function", "doc": "The list of column names.
\n
Get the sqlglot.exp.DataType
type of a column in the schema.
\n\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column | str) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.ensure_schema": {"fullname": "sqlglot.schema.ensure_schema", "modulename": "sqlglot.schema", "qualname": "ensure_schema", "kind": "function", "doc": "\n", "signature": "(\tschema: Any,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.schema.Schema:", "funcdef": "def"}, "sqlglot.schema.ensure_column_mapping": {"fullname": "sqlglot.schema.ensure_column_mapping", "modulename": "sqlglot.schema", "qualname": "ensure_column_mapping", "kind": "function", "doc": "\n", "signature": "(\tmapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType]) -> Dict:", "funcdef": "def"}, "sqlglot.schema.flatten_schema": {"fullname": "sqlglot.schema.flatten_schema", "modulename": "sqlglot.schema", "qualname": "flatten_schema", "kind": "function", "doc": "\n", "signature": "(\tschema: Dict,\tdepth: int,\tkeys: Optional[List[str]] = None) -> List[List[str]]:", "funcdef": "def"}, "sqlglot.serde": {"fullname": "sqlglot.serde", "modulename": "sqlglot.serde", "kind": "module", "doc": "\n"}, "sqlglot.serde.dump": {"fullname": "sqlglot.serde.dump", "modulename": "sqlglot.serde", "qualname": "dump", "kind": "function", "doc": "The resulting column type.
\n
Recursively dump an AST into a JSON-serializable dict.
\n", "signature": "(\tnode: Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]) -> Union[dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.serde.load": {"fullname": "sqlglot.serde.load", "modulename": "sqlglot.serde", "qualname": "load", "kind": "function", "doc": "Recursively load a dict (as returned by dump
) into an AST.
Converts a time string given a mapping.
\n\n\n\n", "signature": "(\tstring: str,\tmapping: Dict[str, str],\ttrie: Optional[Dict] = None) -> Optional[str]:", "funcdef": "def"}, "sqlglot.tokens": {"fullname": "sqlglot.tokens", "modulename": "sqlglot.tokens", "kind": "module", "doc": "\n"}, "sqlglot.tokens.TokenType": {"fullname": "sqlglot.tokens.TokenType", "modulename": "sqlglot.tokens", "qualname": "TokenType", "kind": "class", "doc": "\n\n \n\n>>> format_time("%Y", {"%Y": "YYYY"})\n'YYYY'\n
Args:\n mapping: dictionary of time format to target time format.\n trie: optional trie, can be passed in for performance.
\n \nReturns:\n The converted time string.
\n
An enumeration.
\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.tokens.TokenType.L_PAREN": {"fullname": "sqlglot.tokens.TokenType.L_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_PAREN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.L_PAREN: 'L_PAREN'>"}, "sqlglot.tokens.TokenType.R_PAREN": {"fullname": "sqlglot.tokens.TokenType.R_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_PAREN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.R_PAREN: 'R_PAREN'>"}, "sqlglot.tokens.TokenType.L_BRACKET": {"fullname": "sqlglot.tokens.TokenType.L_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACKET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.L_BRACKET: 'L_BRACKET'>"}, "sqlglot.tokens.TokenType.R_BRACKET": {"fullname": "sqlglot.tokens.TokenType.R_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACKET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.R_BRACKET: 'R_BRACKET'>"}, "sqlglot.tokens.TokenType.L_BRACE": {"fullname": "sqlglot.tokens.TokenType.L_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.L_BRACE: 'L_BRACE'>"}, "sqlglot.tokens.TokenType.R_BRACE": {"fullname": "sqlglot.tokens.TokenType.R_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.R_BRACE: 'R_BRACE'>"}, "sqlglot.tokens.TokenType.COMMA": {"fullname": "sqlglot.tokens.TokenType.COMMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMA", "kind": "variable", "doc": "\n", "default_value": "<TokenType.COMMA: 'COMMA'>"}, "sqlglot.tokens.TokenType.DOT": {"fullname": "sqlglot.tokens.TokenType.DOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DOT: 'DOT'>"}, "sqlglot.tokens.TokenType.DASH": {"fullname": "sqlglot.tokens.TokenType.DASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.DASH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DASH: 'DASH'>"}, "sqlglot.tokens.TokenType.PLUS": {"fullname": "sqlglot.tokens.TokenType.PLUS", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLUS", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PLUS: 'PLUS'>"}, "sqlglot.tokens.TokenType.COLON": {"fullname": "sqlglot.tokens.TokenType.COLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLON", "kind": "variable", "doc": "\n", "default_value": "<TokenType.COLON: 'COLON'>"}, "sqlglot.tokens.TokenType.DCOLON": {"fullname": "sqlglot.tokens.TokenType.DCOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.DCOLON", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DCOLON: 'DCOLON'>"}, "sqlglot.tokens.TokenType.SEMICOLON": {"fullname": "sqlglot.tokens.TokenType.SEMICOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMICOLON", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SEMICOLON: 'SEMICOLON'>"}, "sqlglot.tokens.TokenType.STAR": {"fullname": "sqlglot.tokens.TokenType.STAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.STAR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.STAR: 'STAR'>"}, "sqlglot.tokens.TokenType.BACKSLASH": {"fullname": "sqlglot.tokens.TokenType.BACKSLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BACKSLASH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BACKSLASH: 'BACKSLASH'>"}, "sqlglot.tokens.TokenType.SLASH": {"fullname": "sqlglot.tokens.TokenType.SLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.SLASH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SLASH: 'SLASH'>"}, "sqlglot.tokens.TokenType.LT": {"fullname": "sqlglot.tokens.TokenType.LT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.LT: 'LT'>"}, "sqlglot.tokens.TokenType.LTE": {"fullname": "sqlglot.tokens.TokenType.LTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LTE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.LTE: 'LTE'>"}, "sqlglot.tokens.TokenType.GT": {"fullname": "sqlglot.tokens.TokenType.GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.GT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.GT: 'GT'>"}, "sqlglot.tokens.TokenType.GTE": {"fullname": "sqlglot.tokens.TokenType.GTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.GTE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.GTE: 'GTE'>"}, "sqlglot.tokens.TokenType.NOT": {"fullname": "sqlglot.tokens.TokenType.NOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NOT: 'NOT'>"}, "sqlglot.tokens.TokenType.EQ": {"fullname": "sqlglot.tokens.TokenType.EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.EQ", "kind": "variable", "doc": "\n", "default_value": "<TokenType.EQ: 'EQ'>"}, "sqlglot.tokens.TokenType.NEQ": {"fullname": "sqlglot.tokens.TokenType.NEQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEQ", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NEQ: 'NEQ'>"}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"fullname": "sqlglot.tokens.TokenType.NULLSAFE_EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLSAFE_EQ", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>"}, "sqlglot.tokens.TokenType.AND": {"fullname": "sqlglot.tokens.TokenType.AND", "modulename": "sqlglot.tokens", "qualname": "TokenType.AND", "kind": "variable", "doc": "\n", "default_value": "<TokenType.AND: 'AND'>"}, "sqlglot.tokens.TokenType.OR": {"fullname": "sqlglot.tokens.TokenType.OR", "modulename": "sqlglot.tokens", "qualname": "TokenType.OR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.OR: 'OR'>"}, "sqlglot.tokens.TokenType.AMP": {"fullname": "sqlglot.tokens.TokenType.AMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.AMP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.AMP: 'AMP'>"}, "sqlglot.tokens.TokenType.DPIPE": {"fullname": "sqlglot.tokens.TokenType.DPIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DPIPE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DPIPE: 'DPIPE'>"}, "sqlglot.tokens.TokenType.PIPE": {"fullname": "sqlglot.tokens.TokenType.PIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIPE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PIPE: 'PIPE'>"}, "sqlglot.tokens.TokenType.CARET": {"fullname": "sqlglot.tokens.TokenType.CARET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CARET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.CARET: 'CARET'>"}, "sqlglot.tokens.TokenType.TILDA": {"fullname": "sqlglot.tokens.TokenType.TILDA", "modulename": "sqlglot.tokens", "qualname": "TokenType.TILDA", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TILDA: 'TILDA'>"}, "sqlglot.tokens.TokenType.ARROW": {"fullname": "sqlglot.tokens.TokenType.ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ARROW: 'ARROW'>"}, "sqlglot.tokens.TokenType.DARROW": {"fullname": "sqlglot.tokens.TokenType.DARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DARROW: 'DARROW'>"}, "sqlglot.tokens.TokenType.FARROW": {"fullname": "sqlglot.tokens.TokenType.FARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.FARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.FARROW: 'FARROW'>"}, "sqlglot.tokens.TokenType.HASH": {"fullname": "sqlglot.tokens.TokenType.HASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.HASH: 'HASH'>"}, "sqlglot.tokens.TokenType.HASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.HASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH_ARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.HASH_ARROW: 'HASH_ARROW'>"}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.DHASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DHASH_ARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DHASH_ARROW: 'DHASH_ARROW'>"}, "sqlglot.tokens.TokenType.LR_ARROW": {"fullname": "sqlglot.tokens.TokenType.LR_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.LR_ARROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.LR_ARROW: 'LR_ARROW'>"}, "sqlglot.tokens.TokenType.LT_AT": {"fullname": "sqlglot.tokens.TokenType.LT_AT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT_AT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.LT_AT: 'LT_AT'>"}, "sqlglot.tokens.TokenType.AT_GT": {"fullname": "sqlglot.tokens.TokenType.AT_GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AT_GT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.AT_GT: 'AT_GT'>"}, "sqlglot.tokens.TokenType.DOLLAR": {"fullname": "sqlglot.tokens.TokenType.DOLLAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOLLAR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DOLLAR: 'DOLLAR'>"}, "sqlglot.tokens.TokenType.PARAMETER": {"fullname": "sqlglot.tokens.TokenType.PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARAMETER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PARAMETER: 'PARAMETER'>"}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"fullname": "sqlglot.tokens.TokenType.SESSION_PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SESSION_PARAMETER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SESSION_PARAMETER: 'SESSION_PARAMETER'>"}, "sqlglot.tokens.TokenType.NATIONAL": {"fullname": "sqlglot.tokens.TokenType.NATIONAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATIONAL", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NATIONAL: 'NATIONAL'>"}, "sqlglot.tokens.TokenType.DAMP": {"fullname": "sqlglot.tokens.TokenType.DAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DAMP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DAMP: 'DAMP'>"}, "sqlglot.tokens.TokenType.BLOCK_START": {"fullname": "sqlglot.tokens.TokenType.BLOCK_START", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_START", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BLOCK_START: 'BLOCK_START'>"}, "sqlglot.tokens.TokenType.BLOCK_END": {"fullname": "sqlglot.tokens.TokenType.BLOCK_END", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_END", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BLOCK_END: 'BLOCK_END'>"}, "sqlglot.tokens.TokenType.SPACE": {"fullname": "sqlglot.tokens.TokenType.SPACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.SPACE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SPACE: 'SPACE'>"}, "sqlglot.tokens.TokenType.BREAK": {"fullname": "sqlglot.tokens.TokenType.BREAK", "modulename": "sqlglot.tokens", "qualname": "TokenType.BREAK", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BREAK: 'BREAK'>"}, "sqlglot.tokens.TokenType.STRING": {"fullname": "sqlglot.tokens.TokenType.STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.STRING: 'STRING'>"}, "sqlglot.tokens.TokenType.NUMBER": {"fullname": "sqlglot.tokens.TokenType.NUMBER", "modulename": "sqlglot.tokens", "qualname": "TokenType.NUMBER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.NUMBER: 'NUMBER'>"}, "sqlglot.tokens.TokenType.IDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.IDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.IDENTIFIER", "kind": "variable", "doc": "\n", "default_value": "<TokenType.IDENTIFIER: 'IDENTIFIER'>"}, "sqlglot.tokens.TokenType.DATABASE": {"fullname": "sqlglot.tokens.TokenType.DATABASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATABASE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.DATABASE: 'DATABASE'>"}, "sqlglot.tokens.TokenType.COLUMN": {"fullname": "sqlglot.tokens.TokenType.COLUMN", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.COLUMN: 'COLUMN'>"}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"fullname": "sqlglot.tokens.TokenType.COLUMN_DEF", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN_DEF", "kind": "variable", "doc": "\n", "default_value": "<TokenType.COLUMN_DEF: 'COLUMN_DEF'>"}, "sqlglot.tokens.TokenType.SCHEMA": {"fullname": "sqlglot.tokens.TokenType.SCHEMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.SCHEMA", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SCHEMA: 'SCHEMA'>"}, "sqlglot.tokens.TokenType.TABLE": {"fullname": "sqlglot.tokens.TokenType.TABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TABLE: 'TABLE'>"}, "sqlglot.tokens.TokenType.VAR": {"fullname": "sqlglot.tokens.TokenType.VAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VAR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.VAR: 'VAR'>"}, "sqlglot.tokens.TokenType.BIT_STRING": {"fullname": "sqlglot.tokens.TokenType.BIT_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT_STRING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BIT_STRING: 'BIT_STRING'>"}, "sqlglot.tokens.TokenType.HEX_STRING": {"fullname": "sqlglot.tokens.TokenType.HEX_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HEX_STRING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.HEX_STRING: 'HEX_STRING'>"}, "sqlglot.tokens.TokenType.BYTE_STRING": {"fullname": "sqlglot.tokens.TokenType.BYTE_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BYTE_STRING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BYTE_STRING: 'BYTE_STRING'>"}, "sqlglot.tokens.TokenType.BIT": {"fullname": "sqlglot.tokens.TokenType.BIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BIT: 'BIT'>"}, "sqlglot.tokens.TokenType.BOOLEAN": {"fullname": "sqlglot.tokens.TokenType.BOOLEAN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BOOLEAN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.tokens.TokenType.TINYINT": {"fullname": "sqlglot.tokens.TokenType.TINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TINYINT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TINYINT: 'TINYINT'>"}, 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"sqlglot.tokens.TokenType.PRAGMA": {"fullname": "sqlglot.tokens.TokenType.PRAGMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRAGMA", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PRAGMA: 'PRAGMA'>"}, "sqlglot.tokens.TokenType.PRECEDING": {"fullname": "sqlglot.tokens.TokenType.PRECEDING", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRECEDING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PRECEDING: 'PRECEDING'>"}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"fullname": "sqlglot.tokens.TokenType.PRIMARY_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRIMARY_KEY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>"}, "sqlglot.tokens.TokenType.PROCEDURE": {"fullname": "sqlglot.tokens.TokenType.PROCEDURE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROCEDURE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PROCEDURE: 'PROCEDURE'>"}, "sqlglot.tokens.TokenType.PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROPERTIES", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PROPERTIES: 'PROPERTIES'>"}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"fullname": "sqlglot.tokens.TokenType.PSEUDO_TYPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PSEUDO_TYPE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>"}, "sqlglot.tokens.TokenType.QUALIFY": {"fullname": "sqlglot.tokens.TokenType.QUALIFY", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUALIFY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.QUALIFY: 'QUALIFY'>"}, "sqlglot.tokens.TokenType.QUOTE": {"fullname": "sqlglot.tokens.TokenType.QUOTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUOTE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.QUOTE: 'QUOTE'>"}, "sqlglot.tokens.TokenType.RANGE": {"fullname": "sqlglot.tokens.TokenType.RANGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RANGE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RANGE: 'RANGE'>"}, "sqlglot.tokens.TokenType.RECURSIVE": {"fullname": "sqlglot.tokens.TokenType.RECURSIVE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RECURSIVE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RECURSIVE: 'RECURSIVE'>"}, "sqlglot.tokens.TokenType.REPLACE": {"fullname": "sqlglot.tokens.TokenType.REPLACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.REPLACE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.REPLACE: 'REPLACE'>"}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"fullname": "sqlglot.tokens.TokenType.RESPECT_NULLS", "modulename": "sqlglot.tokens", "qualname": "TokenType.RESPECT_NULLS", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RESPECT_NULLS: 'RESPECT_NULLS'>"}, "sqlglot.tokens.TokenType.RETURNING": {"fullname": "sqlglot.tokens.TokenType.RETURNING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RETURNING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RETURNING: 'RETURNING'>"}, "sqlglot.tokens.TokenType.REFERENCES": {"fullname": "sqlglot.tokens.TokenType.REFERENCES", "modulename": "sqlglot.tokens", "qualname": "TokenType.REFERENCES", "kind": "variable", "doc": "\n", "default_value": "<TokenType.REFERENCES: 'REFERENCES'>"}, "sqlglot.tokens.TokenType.RIGHT": {"fullname": "sqlglot.tokens.TokenType.RIGHT", "modulename": "sqlglot.tokens", "qualname": "TokenType.RIGHT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RIGHT: 'RIGHT'>"}, "sqlglot.tokens.TokenType.RLIKE": {"fullname": "sqlglot.tokens.TokenType.RLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RLIKE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.RLIKE: 'RLIKE'>"}, "sqlglot.tokens.TokenType.ROLLBACK": {"fullname": "sqlglot.tokens.TokenType.ROLLBACK", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLBACK", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ROLLBACK: 'ROLLBACK'>"}, "sqlglot.tokens.TokenType.ROLLUP": {"fullname": "sqlglot.tokens.TokenType.ROLLUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLUP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ROLLUP: 'ROLLUP'>"}, "sqlglot.tokens.TokenType.ROW": {"fullname": "sqlglot.tokens.TokenType.ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ROW: 'ROW'>"}, "sqlglot.tokens.TokenType.ROWS": {"fullname": "sqlglot.tokens.TokenType.ROWS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWS", "kind": "variable", "doc": "\n", "default_value": "<TokenType.ROWS: 'ROWS'>"}, "sqlglot.tokens.TokenType.SEED": {"fullname": "sqlglot.tokens.TokenType.SEED", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEED", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SEED: 'SEED'>"}, "sqlglot.tokens.TokenType.SELECT": {"fullname": "sqlglot.tokens.TokenType.SELECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SELECT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SELECT: 'SELECT'>"}, "sqlglot.tokens.TokenType.SEMI": {"fullname": "sqlglot.tokens.TokenType.SEMI", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMI", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SEMI: 'SEMI'>"}, "sqlglot.tokens.TokenType.SEPARATOR": {"fullname": "sqlglot.tokens.TokenType.SEPARATOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEPARATOR", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SEPARATOR: 'SEPARATOR'>"}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.SERDE_PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERDE_PROPERTIES", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SERDE_PROPERTIES: 'SERDE_PROPERTIES'>"}, "sqlglot.tokens.TokenType.SET": {"fullname": "sqlglot.tokens.TokenType.SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.SET", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SET: 'SET'>"}, "sqlglot.tokens.TokenType.SHOW": {"fullname": "sqlglot.tokens.TokenType.SHOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.SHOW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SHOW: 'SHOW'>"}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"fullname": "sqlglot.tokens.TokenType.SIMILAR_TO", "modulename": "sqlglot.tokens", "qualname": "TokenType.SIMILAR_TO", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SIMILAR_TO: 'SIMILAR_TO'>"}, "sqlglot.tokens.TokenType.SOME": {"fullname": "sqlglot.tokens.TokenType.SOME", "modulename": "sqlglot.tokens", "qualname": "TokenType.SOME", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SOME: 'SOME'>"}, "sqlglot.tokens.TokenType.SORTKEY": {"fullname": "sqlglot.tokens.TokenType.SORTKEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORTKEY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SORTKEY: 'SORTKEY'>"}, "sqlglot.tokens.TokenType.SORT_BY": {"fullname": "sqlglot.tokens.TokenType.SORT_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORT_BY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.SORT_BY: 'SORT_BY'>"}, "sqlglot.tokens.TokenType.STRUCT": {"fullname": "sqlglot.tokens.TokenType.STRUCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRUCT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.STRUCT: 'STRUCT'>"}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"fullname": "sqlglot.tokens.TokenType.TABLE_SAMPLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE_SAMPLE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>"}, "sqlglot.tokens.TokenType.TEMPORARY": {"fullname": "sqlglot.tokens.TokenType.TEMPORARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEMPORARY", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TEMPORARY: 'TEMPORARY'>"}, "sqlglot.tokens.TokenType.TOP": {"fullname": "sqlglot.tokens.TokenType.TOP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TOP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TOP: 'TOP'>"}, "sqlglot.tokens.TokenType.THEN": {"fullname": "sqlglot.tokens.TokenType.THEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.THEN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.THEN: 'THEN'>"}, "sqlglot.tokens.TokenType.TRAILING": {"fullname": "sqlglot.tokens.TokenType.TRAILING", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRAILING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TRAILING: 'TRAILING'>"}, "sqlglot.tokens.TokenType.TRUE": {"fullname": "sqlglot.tokens.TokenType.TRUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRUE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.TRUE: 'TRUE'>"}, "sqlglot.tokens.TokenType.UNBOUNDED": {"fullname": "sqlglot.tokens.TokenType.UNBOUNDED", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNBOUNDED", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNBOUNDED: 'UNBOUNDED'>"}, "sqlglot.tokens.TokenType.UNCACHE": {"fullname": "sqlglot.tokens.TokenType.UNCACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNCACHE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNCACHE: 'UNCACHE'>"}, "sqlglot.tokens.TokenType.UNION": {"fullname": "sqlglot.tokens.TokenType.UNION", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNION", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNION: 'UNION'>"}, "sqlglot.tokens.TokenType.UNLOGGED": {"fullname": "sqlglot.tokens.TokenType.UNLOGGED", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNLOGGED", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNLOGGED: 'UNLOGGED'>"}, "sqlglot.tokens.TokenType.UNNEST": {"fullname": "sqlglot.tokens.TokenType.UNNEST", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNNEST", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNNEST: 'UNNEST'>"}, "sqlglot.tokens.TokenType.UNPIVOT": {"fullname": "sqlglot.tokens.TokenType.UNPIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNPIVOT", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNPIVOT: 'UNPIVOT'>"}, "sqlglot.tokens.TokenType.UPDATE": {"fullname": "sqlglot.tokens.TokenType.UPDATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UPDATE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UPDATE: 'UPDATE'>"}, "sqlglot.tokens.TokenType.USE": {"fullname": "sqlglot.tokens.TokenType.USE", "modulename": "sqlglot.tokens", "qualname": "TokenType.USE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.USE: 'USE'>"}, "sqlglot.tokens.TokenType.USING": {"fullname": "sqlglot.tokens.TokenType.USING", "modulename": "sqlglot.tokens", "qualname": "TokenType.USING", "kind": "variable", "doc": "\n", "default_value": "<TokenType.USING: 'USING'>"}, "sqlglot.tokens.TokenType.VALUES": {"fullname": "sqlglot.tokens.TokenType.VALUES", "modulename": "sqlglot.tokens", "qualname": "TokenType.VALUES", "kind": "variable", "doc": "\n", "default_value": "<TokenType.VALUES: 'VALUES'>"}, "sqlglot.tokens.TokenType.VIEW": {"fullname": "sqlglot.tokens.TokenType.VIEW", "modulename": "sqlglot.tokens", "qualname": "TokenType.VIEW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.VIEW: 'VIEW'>"}, "sqlglot.tokens.TokenType.VOLATILE": {"fullname": "sqlglot.tokens.TokenType.VOLATILE", "modulename": "sqlglot.tokens", "qualname": "TokenType.VOLATILE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.VOLATILE: 'VOLATILE'>"}, "sqlglot.tokens.TokenType.WHEN": {"fullname": "sqlglot.tokens.TokenType.WHEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHEN", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WHEN: 'WHEN'>"}, "sqlglot.tokens.TokenType.WHERE": {"fullname": "sqlglot.tokens.TokenType.WHERE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHERE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WHERE: 'WHERE'>"}, "sqlglot.tokens.TokenType.WINDOW": {"fullname": "sqlglot.tokens.TokenType.WINDOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.WINDOW", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WINDOW: 'WINDOW'>"}, "sqlglot.tokens.TokenType.WITH": {"fullname": "sqlglot.tokens.TokenType.WITH", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITH: 'WITH'>"}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITH_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH_TIME_ZONE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITH_TIME_ZONE: 'WITH_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH_LOCAL_TIME_ZONE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITH_LOCAL_TIME_ZONE: 'WITH_LOCAL_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"fullname": "sqlglot.tokens.TokenType.WITHIN_GROUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITHIN_GROUP", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITHIN_GROUP: 'WITHIN_GROUP'>"}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITHOUT_TIME_ZONE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.WITHOUT_TIME_ZONE: 'WITHOUT_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.UNIQUE": {"fullname": "sqlglot.tokens.TokenType.UNIQUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUE", "kind": "variable", "doc": "\n", "default_value": "<TokenType.UNIQUE: 'UNIQUE'>"}, "sqlglot.tokens.Token": {"fullname": "sqlglot.tokens.Token", "modulename": "sqlglot.tokens", "qualname": "Token", "kind": "class", "doc": "\n"}, "sqlglot.tokens.Token.__init__": {"fullname": "sqlglot.tokens.Token.__init__", "modulename": "sqlglot.tokens", "qualname": "Token.__init__", "kind": "function", "doc": "\n", "signature": "(\ttoken_type: sqlglot.tokens.TokenType,\ttext: str,\tline: int = 1,\tcol: int = 1,\tend: int = 0,\tcomments: List[str] = [])"}, "sqlglot.tokens.Token.number": {"fullname": "sqlglot.tokens.Token.number", "modulename": "sqlglot.tokens", "qualname": "Token.number", "kind": "function", "doc": "Returns a NUMBER token with number
as its text.
Returns a STRING token with string
as its text.
Returns an IDENTIFIER token with identifier
as its text.
Returns an VAR token with var
as its text.
Returns the start of the token.
\n", "annotation": ": int"}, "sqlglot.tokens.Tokenizer": {"fullname": "sqlglot.tokens.Tokenizer", "modulename": "sqlglot.tokens", "qualname": "Tokenizer", "kind": "class", "doc": "\n"}, "sqlglot.tokens.Tokenizer.reset": {"fullname": "sqlglot.tokens.Tokenizer.reset", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.reset", "kind": "function", "doc": "\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.tokenize": {"fullname": "sqlglot.tokens.Tokenizer.tokenize", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.tokenize", "kind": "function", "doc": "Returns a list of tokens corresponding to the SQL string sql
.
Replace references to select aliases in GROUP BY clauses.
\n\n\n\n\n\n\n\n>>> import sqlglot\n>>> sqlglot.parse_one("SELECT a AS b FROM x GROUP BY b").transform(unalias_group).sql()\n'SELECT a AS b FROM x GROUP BY 1'\n
\n\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_distinct_on": {"fullname": "sqlglot.transforms.eliminate_distinct_on", "modulename": "sqlglot.transforms", "qualname": "eliminate_distinct_on", "kind": "function", "doc": "The transformed expression.
\n
Convert SELECT DISTINCT ON statements to a subquery with a window function.
\n\nThis is useful for dialects that don't support SELECT DISTINCT ON but support window functions.
\n\n\n\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_qualify": {"fullname": "sqlglot.transforms.eliminate_qualify", "modulename": "sqlglot.transforms", "qualname": "eliminate_qualify", "kind": "function", "doc": "The transformed expression.
\n
Convert SELECT statements that contain the QUALIFY clause into subqueries, filtered equivalently.
\n\nThe idea behind this transformation can be seen in Snowflake's documentation for QUALIFY:\nhttps://docs.snowflake.com/en/sql-reference/constructs/qualify
\n\nSome dialects don't support window functions in the WHERE clause, so we need to include them as\nprojections in the subquery, in order to refer to them in the outer filter using aliases. Also,\nif a column is referenced in the QUALIFY clause but is not selected, we need to include it too,\notherwise we won't be able to refer to it in the outer query's WHERE clause.
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_precision_parameterized_types": {"fullname": "sqlglot.transforms.remove_precision_parameterized_types", "modulename": "sqlglot.transforms", "qualname": "remove_precision_parameterized_types", "kind": "function", "doc": "Some dialects only allow the precision for parameterized types to be defined in the DDL and not in\nother expressions. This transforms removes the precision from parameterized types in expressions.
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.unnest_to_explode": {"fullname": "sqlglot.transforms.unnest_to_explode", "modulename": "sqlglot.transforms", "qualname": "unnest_to_explode", "kind": "function", "doc": "Convert cross join unnest into lateral view explode (used in presto -> hive).
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.explode_to_unnest": {"fullname": "sqlglot.transforms.explode_to_unnest", "modulename": "sqlglot.transforms", "qualname": "explode_to_unnest", "kind": "function", "doc": "Convert explode/posexplode into unnest (used in hive -> presto).
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_target_from_merge": {"fullname": "sqlglot.transforms.remove_target_from_merge", "modulename": "sqlglot.transforms", "qualname": "remove_target_from_merge", "kind": "function", "doc": "Remove table refs from columns in when statements.
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.preprocess": {"fullname": "sqlglot.transforms.preprocess", "modulename": "sqlglot.transforms", "qualname": "preprocess", "kind": "function", "doc": "Creates a new transform by chaining a sequence of transformations and converts the resulting\nexpression to SQL, using an appropriate Generator.TRANSFORMS
function.
\n\n", "signature": "(\ttransforms: List[Callable[[sqlglot.expressions.Expression], sqlglot.expressions.Expression]]) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.trie": {"fullname": "sqlglot.trie", "modulename": "sqlglot.trie", "kind": "module", "doc": "\n"}, "sqlglot.trie.new_trie": {"fullname": "sqlglot.trie.new_trie", "modulename": "sqlglot.trie", "qualname": "new_trie", "kind": "function", "doc": "Function that can be used as a generator transform.
\n
Creates a new trie out of a collection of keywords.
\n\nThe trie is represented as a sequence of nested dictionaries keyed by either single character\nstrings, or by 0, which is used to designate that a keyword is in the trie.
\n\n\n\n\n\n\n\n>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n
\n\n", "signature": "(\tkeywords: Iterable[Sequence[Hashable]],\ttrie: Optional[Dict] = None) -> Dict:", "funcdef": "def"}, "sqlglot.trie.in_trie": {"fullname": "sqlglot.trie.in_trie", "modulename": "sqlglot.trie", "qualname": "in_trie", "kind": "function", "doc": "The trie corresponding to
\nkeywords
.
Checks whether a key is in a trie.
\n\n\n\n\n\n\n \n\n>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n
\n\n \n\n>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n
\n\n\n>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n
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1}}}}}, "n": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 2}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 28}}}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; // mirrored in build-search-index.js (part 1) // Also split on html tags. this is a cheap heuristic, but good enough. diff --git a/docs/sqlglot.html b/docs/sqlglot.html index 8c37b8d..1bbf2ae 100644 --- a/docs/sqlglot.html +++ b/docs/sqlglot.html @@ -673,168 +673,171 @@ 21 Expression as Expression, 22 alias_ as alias, 23 and_ as and_, - 24 column as column, - 25 condition as condition, - 26 except_ as except_, - 27 from_ as from_, - 28 intersect as intersect, - 29 maybe_parse as maybe_parse, - 30 not_ as not_, - 31 or_ as or_, - 32 select as select, - 33 subquery as subquery, - 34 table_ as table, - 35 to_column as to_column, - 36 to_table as to_table, - 37 union as union, - 38) - 39from sqlglot.generator import Generator as Generator - 40from sqlglot.parser import Parser as Parser - 41from sqlglot.schema import MappingSchema as MappingSchema, Schema as Schema - 42from sqlglot.tokens import Tokenizer as Tokenizer, TokenType as TokenType - 43 - 44if t.TYPE_CHECKING: - 45 from sqlglot.dialects.dialect import DialectType as DialectType + 24 cast as cast, + 25 column as column, + 26 condition as condition, + 27 except_ as except_, + 28 from_ as from_, + 29 func as func, + 30 intersect as intersect, + 31 maybe_parse as maybe_parse, + 32 not_ as not_, + 33 or_ as or_, + 34 select as select, + 35 subquery as subquery, + 36 table_ as table, + 37 to_column as to_column, + 38 to_identifier as to_identifier, + 39 to_table as to_table, + 40 union as union, + 41) + 42from sqlglot.generator import Generator as Generator + 43from sqlglot.parser import Parser as Parser + 44from sqlglot.schema import MappingSchema as MappingSchema, Schema as Schema + 45from sqlglot.tokens import Tokenizer as Tokenizer, TokenType as TokenType 46 - 47 T = t.TypeVar("T", bound=Expression) - 48 + 47if t.TYPE_CHECKING: + 48 from sqlglot.dialects.dialect import DialectType as DialectType 49 - 50__version__ = "11.6.3" + 50 T = t.TypeVar("T", bound=Expression) 51 - 52pretty = False - 53"""Whether to format generated SQL by default.""" + 52 + 53__version__ = "12.1.0" 54 - 55schema = MappingSchema() - 56"""The default schema used by SQLGlot (e.g. in the optimizer).""" + 55pretty = False + 56"""Whether to format generated SQL by default.""" 57 - 58 - 59def parse(sql: str, read: DialectType = None, **opts) -> t.List[t.Optional[Expression]]: - 60 """ - 61 Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement. - 62 - 63 Args: - 64 sql: the SQL code string to parse. - 65 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). - 66 **opts: other `sqlglot.parser.Parser` options. - 67 - 68 Returns: - 69 The resulting syntax tree collection. - 70 """ - 71 dialect = Dialect.get_or_raise(read)() - 72 return dialect.parse(sql, **opts) - 73 - 74 - 75@t.overload - 76def parse_one( - 77 sql: str, - 78 read: None = None, - 79 into: t.Type[T] = ..., - 80 **opts, - 81) -> T: - 82 ... - 83 - 84 - 85@t.overload - 86def parse_one( - 87 sql: str, - 88 read: DialectType, - 89 into: t.Type[T], - 90 **opts, - 91) -> T: - 92 ... - 93 - 94 - 95@t.overload - 96def parse_one( - 97 sql: str, - 98 read: None = None, - 99 into: t.Union[str, t.Collection[t.Union[str, t.Type[Expression]]]] = ..., -100 **opts, -101) -> Expression: -102 ... -103 -104 -105@t.overload -106def parse_one( -107 sql: str, -108 read: DialectType, -109 into: t.Union[str, t.Collection[t.Union[str, t.Type[Expression]]]], -110 **opts, -111) -> Expression: -112 ... -113 -114 -115@t.overload -116def parse_one( -117 sql: str, -118 **opts, -119) -> Expression: -120 ... -121 -122 -123def parse_one( -124 sql: str, -125 read: DialectType = None, -126 into: t.Optional[exp.IntoType] = None, -127 **opts, -128) -> Expression: -129 """ -130 Parses the given SQL string and returns a syntax tree for the first parsed SQL statement. -131 -132 Args: -133 sql: the SQL code string to parse. -134 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). -135 into: the SQLGlot Expression to parse into. -136 **opts: other `sqlglot.parser.Parser` options. -137 -138 Returns: -139 The syntax tree for the first parsed statement. -140 """ -141 -142 dialect = Dialect.get_or_raise(read)() -143 -144 if into: -145 result = dialect.parse_into(into, sql, **opts) -146 else: -147 result = dialect.parse(sql, **opts) -148 -149 for expression in result: -150 if not expression: -151 raise ParseError(f"No expression was parsed from '{sql}'") -152 return expression -153 else: -154 raise ParseError(f"No expression was parsed from '{sql}'") -155 -156 -157def transpile( -158 sql: str, -159 read: DialectType = None, -160 write: DialectType = None, -161 identity: bool = True, -162 error_level: t.Optional[ErrorLevel] = None, -163 **opts, -164) -> t.List[str]: -165 """ -166 Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed -167 to conform to the target dialect. Each string in the returned list represents a single transformed SQL statement. -168 -169 Args: -170 sql: the SQL code string to transpile. -171 read: the source dialect used to parse the input string (eg. "spark", "hive", "presto", "mysql"). -172 write: the target dialect into which the input should be transformed (eg. "spark", "hive", "presto", "mysql"). -173 identity: if set to `True` and if the target dialect is not specified the source dialect will be used as both: -174 the source and the target dialect. -175 error_level: the desired error level of the parser. -176 **opts: other `sqlglot.generator.Generator` options. -177 -178 Returns: -179 The list of transpiled SQL statements. -180 """ -181 write = write or read if identity else write -182 return [ -183 Dialect.get_or_raise(write)().generate(expression, **opts) -184 for expression in parse(sql, read, error_level=error_level) -185 ] + 58schema = MappingSchema() + 59"""The default schema used by SQLGlot (e.g. in the optimizer).""" + 60 + 61 + 62def parse(sql: str, read: DialectType = None, **opts) -> t.List[t.Optional[Expression]]: + 63 """ + 64 Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement. + 65 + 66 Args: + 67 sql: the SQL code string to parse. + 68 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). + 69 **opts: other `sqlglot.parser.Parser` options. + 70 + 71 Returns: + 72 The resulting syntax tree collection. + 73 """ + 74 dialect = Dialect.get_or_raise(read)() + 75 return dialect.parse(sql, **opts) + 76 + 77 + 78@t.overload + 79def parse_one( + 80 sql: str, + 81 read: None = None, + 82 into: t.Type[T] = ..., + 83 **opts, + 84) -> T: + 85 ... + 86 + 87 + 88@t.overload + 89def parse_one( + 90 sql: str, + 91 read: DialectType, + 92 into: t.Type[T], + 93 **opts, + 94) -> T: + 95 ... + 96 + 97 + 98@t.overload + 99def parse_one( +100 sql: str, +101 read: None = None, +102 into: t.Union[str, t.Collection[t.Union[str, t.Type[Expression]]]] = ..., +103 **opts, +104) -> Expression: +105 ... +106 +107 +108@t.overload +109def parse_one( +110 sql: str, +111 read: DialectType, +112 into: t.Union[str, t.Collection[t.Union[str, t.Type[Expression]]]], +113 **opts, +114) -> Expression: +115 ... +116 +117 +118@t.overload +119def parse_one( +120 sql: str, +121 **opts, +122) -> Expression: +123 ... +124 +125 +126def parse_one( +127 sql: str, +128 read: DialectType = None, +129 into: t.Optional[exp.IntoType] = None, +130 **opts, +131) -> Expression: +132 """ +133 Parses the given SQL string and returns a syntax tree for the first parsed SQL statement. +134 +135 Args: +136 sql: the SQL code string to parse. +137 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). +138 into: the SQLGlot Expression to parse into. +139 **opts: other `sqlglot.parser.Parser` options. +140 +141 Returns: +142 The syntax tree for the first parsed statement. +143 """ +144 +145 dialect = Dialect.get_or_raise(read)() +146 +147 if into: +148 result = dialect.parse_into(into, sql, **opts) +149 else: +150 result = dialect.parse(sql, **opts) +151 +152 for expression in result: +153 if not expression: +154 raise ParseError(f"No expression was parsed from '{sql}'") +155 return expression +156 else: +157 raise ParseError(f"No expression was parsed from '{sql}'") +158 +159 +160def transpile( +161 sql: str, +162 read: DialectType = None, +163 write: DialectType = None, +164 identity: bool = True, +165 error_level: t.Optional[ErrorLevel] = None, +166 **opts, +167) -> t.List[str]: +168 """ +169 Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed +170 to conform to the target dialect. Each string in the returned list represents a single transformed SQL statement. +171 +172 Args: +173 sql: the SQL code string to transpile. +174 read: the source dialect used to parse the input string (eg. "spark", "hive", "presto", "mysql"). +175 write: the target dialect into which the input should be transformed (eg. "spark", "hive", "presto", "mysql"). +176 identity: if set to `True` and if the target dialect is not specified the source dialect will be used as both: +177 the source and the target dialect. +178 error_level: the desired error level of the parser. +179 **opts: other `sqlglot.generator.Generator` options. +180 +181 Returns: +182 The list of transpiled SQL statements. +183 """ +184 write = write or read if identity else write +185 return [ +186 Dialect.get_or_raise(write)().generate(expression, **opts) +187 for expression in parse(sql, read, error_level=error_level) +188 ] @@ -878,20 +881,20 @@ -A pair
\n(value, subtrie)
, wheresubtrie
is the sub-trie we get at the point where the search stops, andvalue
\n is either 0 (search was unsuccessful), 1 (value
is a prefix of a keyword intrie
) or 2 (key is in
trie`).
60def parse(sql: str, read: DialectType = None, **opts) -> t.List[t.Optional[Expression]]: -61 """ -62 Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement. -63 -64 Args: -65 sql: the SQL code string to parse. -66 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). -67 **opts: other `sqlglot.parser.Parser` options. -68 -69 Returns: -70 The resulting syntax tree collection. -71 """ -72 dialect = Dialect.get_or_raise(read)() -73 return dialect.parse(sql, **opts) +@@ -925,38 +928,38 @@63def parse(sql: str, read: DialectType = None, **opts) -> t.List[t.Optional[Expression]]: +64 """ +65 Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement. +66 +67 Args: +68 sql: the SQL code string to parse. +69 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). +70 **opts: other `sqlglot.parser.Parser` options. +71 +72 Returns: +73 The resulting syntax tree collection. +74 """ +75 dialect = Dialect.get_or_raise(read)() +76 return dialect.parse(sql, **opts)
124def parse_one( -125 sql: str, -126 read: DialectType = None, -127 into: t.Optional[exp.IntoType] = None, -128 **opts, -129) -> Expression: -130 """ -131 Parses the given SQL string and returns a syntax tree for the first parsed SQL statement. -132 -133 Args: -134 sql: the SQL code string to parse. -135 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). -136 into: the SQLGlot Expression to parse into. -137 **opts: other `sqlglot.parser.Parser` options. -138 -139 Returns: -140 The syntax tree for the first parsed statement. -141 """ -142 -143 dialect = Dialect.get_or_raise(read)() -144 -145 if into: -146 result = dialect.parse_into(into, sql, **opts) -147 else: -148 result = dialect.parse(sql, **opts) -149 -150 for expression in result: -151 if not expression: -152 raise ParseError(f"No expression was parsed from '{sql}'") -153 return expression -154 else: -155 raise ParseError(f"No expression was parsed from '{sql}'") +@@ -991,35 +994,35 @@127def parse_one( +128 sql: str, +129 read: DialectType = None, +130 into: t.Optional[exp.IntoType] = None, +131 **opts, +132) -> Expression: +133 """ +134 Parses the given SQL string and returns a syntax tree for the first parsed SQL statement. +135 +136 Args: +137 sql: the SQL code string to parse. +138 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). +139 into: the SQLGlot Expression to parse into. +140 **opts: other `sqlglot.parser.Parser` options. +141 +142 Returns: +143 The syntax tree for the first parsed statement. +144 """ +145 +146 dialect = Dialect.get_or_raise(read)() +147 +148 if into: +149 result = dialect.parse_into(into, sql, **opts) +150 else: +151 result = dialect.parse(sql, **opts) +152 +153 for expression in result: +154 if not expression: +155 raise ParseError(f"No expression was parsed from '{sql}'") +156 return expression +157 else: +158 raise ParseError(f"No expression was parsed from '{sql}'")
158def transpile( -159 sql: str, -160 read: DialectType = None, -161 write: DialectType = None, -162 identity: bool = True, -163 error_level: t.Optional[ErrorLevel] = None, -164 **opts, -165) -> t.List[str]: -166 """ -167 Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed -168 to conform to the target dialect. Each string in the returned list represents a single transformed SQL statement. -169 -170 Args: -171 sql: the SQL code string to transpile. -172 read: the source dialect used to parse the input string (eg. "spark", "hive", "presto", "mysql"). -173 write: the target dialect into which the input should be transformed (eg. "spark", "hive", "presto", "mysql"). -174 identity: if set to `True` and if the target dialect is not specified the source dialect will be used as both: -175 the source and the target dialect. -176 error_level: the desired error level of the parser. -177 **opts: other `sqlglot.generator.Generator` options. -178 -179 Returns: -180 The list of transpiled SQL statements. -181 """ -182 write = write or read if identity else write -183 return [ -184 Dialect.get_or_raise(write)().generate(expression, **opts) -185 for expression in parse(sql, read, error_level=error_level) -186 ] +diff --git a/docs/sqlglot/dataframe/sql.html b/docs/sqlglot/dataframe/sql.html index a9a7f9d..81a145b 100644 --- a/docs/sqlglot/dataframe/sql.html +++ b/docs/sqlglot/dataframe/sql.html @@ -608,7 +608,7 @@161def transpile( +162 sql: str, +163 read: DialectType = None, +164 write: DialectType = None, +165 identity: bool = True, +166 error_level: t.Optional[ErrorLevel] = None, +167 **opts, +168) -> t.List[str]: +169 """ +170 Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed +171 to conform to the target dialect. Each string in the returned list represents a single transformed SQL statement. +172 +173 Args: +174 sql: the SQL code string to transpile. +175 read: the source dialect used to parse the input string (eg. "spark", "hive", "presto", "mysql"). +176 write: the target dialect into which the input should be transformed (eg. "spark", "hive", "presto", "mysql"). +177 identity: if set to `True` and if the target dialect is not specified the source dialect will be used as both: +178 the source and the target dialect. +179 error_level: the desired error level of the parser. +180 **opts: other `sqlglot.generator.Generator` options. +181 +182 Returns: +183 The list of transpiled SQL statements. +184 """ +185 write = write or read if identity else write +186 return [ +187 Dialect.get_or_raise(write)().generate(expression, **opts) +188 for expression in parse(sql, read, error_level=error_level) +189 ]def - createDataFrame( self, data: Sequence[Union[Dict[str, <MagicMock id='140377708850400'>], List[<MagicMock id='140377708850400'>], Tuple]], schema: Optional[<MagicMock id='140377708766032'>] = None, samplingRatio: Optional[float] = None, verifySchema: bool = False) -> sqlglot.dataframe.sql.DataFrame: + createDataFrame( self, data: Sequence[Union[Dict[str, <MagicMock id='140482330521808'>], List[<MagicMock id='140482330521808'>], Tuple]], schema: Optional[<MagicMock id='140482330535600'>] = None, samplingRatio: Optional[float] = None, verifySchema: bool = False) -> sqlglot.dataframe.sql.DataFrame: @@ -1513,7 +1513,7 @@-- DataFrame( spark: <MagicMock id='140377712280432'>, expression: sqlglot.expressions.Select, branch_id: Optional[str] = None, sequence_id: Optional[str] = None, last_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>, pending_hints: Optional[List[sqlglot.expressions.Expression]] = None, output_expression_container: Optional[<MagicMock id='140377711871072'>] = None, **kwargs) + DataFrame( spark: <MagicMock id='140482335596384'>, expression: sqlglot.expressions.Select, branch_id: Optional[str] = None, sequence_id: Optional[str] = None, last_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>, pending_hints: Optional[List[sqlglot.expressions.Expression]] = None, output_expression_container: Optional[<MagicMock id='140482335520656'>] = None, **kwargs) @@ -2288,7 +2288,7 @@ is unlikely to come up.@@ -1514,45 +1517,45 @@ Default: True@operation(Operation.FROM)def - fillna( self, value: <MagicMock id='140377707652544'>, subset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.DataFrame: + fillna( self, value: <MagicMock id='140482330974848'>, subset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.DataFrame: @@ -2357,7 +2357,7 @@ and check if it matches the type of the value provided. If not then make it null@operation(Operation.FROM)def - replace( self, to_replace: Union[bool, int, float, str, List, Dict], value: Union[bool, int, float, str, List, NoneType] = None, subset: Union[Collection[<MagicMock id='140377707950480'>], <MagicMock id='140377707950480'>, NoneType] = None) -> sqlglot.dataframe.sql.DataFrame: + replace( self, to_replace: Union[bool, int, float, str, List, Dict], value: Union[bool, int, float, str, List, NoneType] = None, subset: Union[Collection[<MagicMock id='140482330012992'>], <MagicMock id='140482330012992'>, NoneType] = None) -> sqlglot.dataframe.sql.DataFrame: @@ -2562,7 +2562,7 @@ and check if it matches the type of the value provided. If not then make it null@operation(Operation.NO_OP)def - repartition( self, numPartitions: Union[int, <MagicMock id='140377708152048'>], *cols: <MagicMock id='140377708084144'>) -> sqlglot.dataframe.sql.DataFrame: + repartition( self, numPartitions: Union[int, <MagicMock id='140482329596336'>], *cols: <MagicMock id='140482329655376'>) -> sqlglot.dataframe.sql.DataFrame: @@ -3230,7 +3230,7 @@ and check if it matches the type of the value provided. If not then make it null- Column( expression: Union[<MagicMock id='140377710043744'>, sqlglot.expressions.Expression, NoneType]) + Column( expression: Union[<MagicMock id='140482331597488'>, sqlglot.expressions.Expression, NoneType]) @@ -3258,7 +3258,7 @@ and check if it matches the type of the value provided. If not then make it null-@classmethoddef - ensure_col( cls, value: Union[<MagicMock id='140377708259664'>, sqlglot.expressions.Expression, NoneType]): + ensure_col( cls, value: Union[<MagicMock id='140482329703328'>, sqlglot.expressions.Expression, NoneType]): @@ -3279,7 +3279,7 @@ and check if it matches the type of the value provided. If not then make it null@classmethoddef - ensure_cols( cls, args: List[Union[<MagicMock id='140377708547664'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.Column]: + ensure_cols( cls, args: List[Union[<MagicMock id='140482330200576'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.Column]: @@ -3300,7 +3300,7 @@ and check if it matches the type of the value provided. If not then make it null@classmethoddef - invoke_anonymous_function( cls, column: Optional[<MagicMock id='140377708420048'>], func_name: str, *args: Optional[<MagicMock id='140377708523584'>]) -> sqlglot.dataframe.sql.Column: + invoke_anonymous_function( cls, column: Optional[<MagicMock id='140482329857520'>], func_name: str, *args: Optional[<MagicMock id='140482329881584'>]) -> sqlglot.dataframe.sql.Column: @@ -3327,7 +3327,7 @@ and check if it matches the type of the value provided. If not then make it null@classmethoddef - invoke_expression_over_column( cls, column: Optional[<MagicMock id='140377708376176'>], callable_expression: Callable, **kwargs) -> sqlglot.dataframe.sql.Column: + invoke_expression_over_column( cls, column: Optional[<MagicMock id='140482329799712'>], callable_expression: Callable, **kwargs) -> sqlglot.dataframe.sql.Column: @@ -3364,7 +3364,7 @@ and check if it matches the type of the value provided. If not then make it nulldef - binary_op( self, klass: Callable, other: <MagicMock id='140377706598112'>, **kwargs) -> sqlglot.dataframe.sql.Column: + binary_op( self, klass: Callable, other: <MagicMock id='140482329769152'>, **kwargs) -> sqlglot.dataframe.sql.Column: @@ -3385,7 +3385,7 @@ and check if it matches the type of the value provided. If not then make it null@@ -619,8 +622,8 @@ Default: Truedef - inverse_binary_op( self, klass: Callable, other: <MagicMock id='140377706608240'>, **kwargs) -> sqlglot.dataframe.sql.Column: + inverse_binary_op( self, klass: Callable, other: <MagicMock id='140482329759984'>, **kwargs) -> sqlglot.dataframe.sql.Column: @@ -3895,7 +3895,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string+def - isin( self, *cols: Union[<MagicMock id='140377706743696'>, Iterable[<MagicMock id='140377706743696'>]]): + isin( self, *cols: Union[<MagicMock id='140482330346256'>, Iterable[<MagicMock id='140482330346256'>]]): @@ -3916,7 +3916,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string+def - between( self, lowerBound: <MagicMock id='140377706814464'>, upperBound: <MagicMock id='140377706852560'>) -> sqlglot.dataframe.sql.Column: + between( self, lowerBound: <MagicMock id='140482328352688'>, upperBound: <MagicMock id='140482328407168'>) -> sqlglot.dataframe.sql.Column: @@ -3951,7 +3951,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string@@ -451,7 +466,7 @@ Default: Truedef - over( self, window: <MagicMock id='140377706910272'>) -> sqlglot.dataframe.sql.Column: + over( self, window: <MagicMock id='140482328481264'>) -> sqlglot.dataframe.sql.Column: @@ -4149,7 +4149,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string-@classmethoddef - partitionBy( cls, *cols: Union[<MagicMock id='140377707221328'>, List[<MagicMock id='140377707221328'>]]) -> sqlglot.dataframe.sql.WindowSpec: + partitionBy( cls, *cols: Union[<MagicMock id='140482328980416'>, List[<MagicMock id='140482328980416'>]]) -> sqlglot.dataframe.sql.WindowSpec: @@ -4170,7 +4170,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string@classmethoddef - orderBy( cls, *cols: Union[<MagicMock id='140377707360368'>, List[<MagicMock id='140377707360368'>]]) -> sqlglot.dataframe.sql.WindowSpec: + orderBy( cls, *cols: Union[<MagicMock id='140482328995408'>, List[<MagicMock id='140482328995408'>]]) -> sqlglot.dataframe.sql.WindowSpec: @@ -4395,7 +4395,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a stringdef - partitionBy( self, *cols: Union[<MagicMock id='140377707291568'>, List[<MagicMock id='140377707291568'>]]) -> sqlglot.dataframe.sql.WindowSpec: + partitionBy( self, *cols: Union[<MagicMock id='140482328591472'>, List[<MagicMock id='140482328591472'>]]) -> sqlglot.dataframe.sql.WindowSpec: @@ -4422,7 +4422,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string@@ -425,211 +445,225 @@def - orderBy( self, *cols: Union[<MagicMock id='140377707161408'>, List[<MagicMock id='140377707161408'>]]) -> sqlglot.dataframe.sql.WindowSpec: + orderBy( self, *cols: Union[<MagicMock id='140482328640480'>, List[<MagicMock id='140482328640480'>]]) -> sqlglot.dataframe.sql.WindowSpec: diff --git a/docs/sqlglot/dialects.html b/docs/sqlglot/dialects.html index 5777d08..18e5dea 100644 --- a/docs/sqlglot/dialects.html +++ b/docs/sqlglot/dialects.html @@ -48,6 +48,7 @@diff --git a/docs/sqlglot/dialects/bigquery.html b/docs/sqlglot/dialects/bigquery.html index 761adb6..47969bb 100644 --- a/docs/sqlglot/dialects/bigquery.html +++ b/docs/sqlglot/dialects/bigquery.html @@ -69,6 +69,9 @@redshift snowflake spark +spark2 sqlite starrocks tableau @@ -204,12 +205,13 @@ logic for some expressions; this is usually done by adding new entries to the70from sqlglot.dialects.redshift import Redshift 71from sqlglot.dialects.snowflake import Snowflake 72from sqlglot.dialects.spark import Spark -73from sqlglot.dialects.sqlite import SQLite -74from sqlglot.dialects.starrocks import StarRocks -75from sqlglot.dialects.tableau import Tableau -76from sqlglot.dialects.teradata import Teradata -77from sqlglot.dialects.trino import Trino -78from sqlglot.dialects.tsql import TSQL +73from sqlglot.dialects.spark2 import Spark2 +74from sqlglot.dialects.sqlite import SQLite +75from sqlglot.dialects.starrocks import StarRocks +76from sqlglot.dialects.tableau import Tableau +77from sqlglot.dialects.teradata import Teradata +78from sqlglot.dialects.trino import Trino +79from sqlglot.dialects.tsql import TSQL intersect_op ++ with_properties + @@ -139,277 +142,294 @@ 39 40def _derived_table_values_to_unnest(self: generator.Generator, expression: exp.Values) -> str: 41 if not isinstance(expression.unnest().parent, exp.From): - 42 expression = t.cast(exp.Values, transforms.remove_precision_parameterized_types(expression)) - 43 return self.values_sql(expression) - 44 rows = [tuple_exp.expressions for tuple_exp in expression.find_all(exp.Tuple)] - 45 structs = [] - 46 for row in rows: - 47 aliases = [ - 48 exp.alias_(value, column_name) - 49 for value, column_name in zip(row, expression.args["alias"].args["columns"]) - 50 ] - 51 structs.append(exp.Struct(expressions=aliases)) - 52 unnest_exp = exp.Unnest(expressions=[exp.Array(expressions=structs)]) - 53 return self.unnest_sql(unnest_exp) - 54 + 42 return self.values_sql(expression) + 43 + 44 structs = [ + 45 exp.Struct( + 46 expressions=[ + 47 exp.alias_(value, column_name) + 48 for value, column_name in zip( + 49 t.expressions, expression.args["alias"].args["columns"] + 50 ) + 51 ] + 52 ) + 53 for t in expression.find_all(exp.Tuple) + 54 ] 55 - 56def _returnsproperty_sql(self: generator.Generator, expression: exp.ReturnsProperty) -> str: - 57 this = expression.this - 58 if isinstance(this, exp.Schema): - 59 this = f"{this.this} <{self.expressions(this)}>" - 60 else: - 61 this = self.sql(this) - 62 return f"RETURNS {this}" - 63 - 64 - 65def _create_sql(self: generator.Generator, expression: exp.Create) -> str: - 66 kind = expression.args["kind"] - 67 returns = expression.find(exp.ReturnsProperty) - 68 if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"): - 69 expression = expression.copy() - 70 expression.set("kind", "TABLE FUNCTION") - 71 if isinstance( - 72 expression.expression, - 73 ( - 74 exp.Subquery, - 75 exp.Literal, - 76 ), - 77 ): - 78 expression.set("expression", expression.expression.this) - 79 - 80 return self.create_sql(expression) - 81 - 82 return self.create_sql(expression) - 83 + 56 return self.unnest_sql(exp.Unnest(expressions=[exp.Array(expressions=structs)])) + 57 + 58 + 59def _returnsproperty_sql(self: generator.Generator, expression: exp.ReturnsProperty) -> str: + 60 this = expression.this + 61 if isinstance(this, exp.Schema): + 62 this = f"{this.this} <{self.expressions(this)}>" + 63 else: + 64 this = self.sql(this) + 65 return f"RETURNS {this}" + 66 + 67 + 68def _create_sql(self: generator.Generator, expression: exp.Create) -> str: + 69 kind = expression.args["kind"] + 70 returns = expression.find(exp.ReturnsProperty) + 71 if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"): + 72 expression = expression.copy() + 73 expression.set("kind", "TABLE FUNCTION") + 74 if isinstance( + 75 expression.expression, + 76 ( + 77 exp.Subquery, + 78 exp.Literal, + 79 ), + 80 ): + 81 expression.set("expression", expression.expression.this) + 82 + 83 return self.create_sql(expression) 84 - 85def _unqualify_unnest(expression: exp.Expression) -> exp.Expression: - 86 """Remove references to unnest table aliases since bigquery doesn't allow them. + 85 return self.create_sql(expression) + 86 87 - 88 These are added by the optimizer's qualify_column step. - 89 """ - 90 if isinstance(expression, exp.Select): - 91 unnests = { - 92 unnest.alias - 93 for unnest in expression.args.get("from", exp.From(expressions=[])).expressions - 94 if isinstance(unnest, exp.Unnest) and unnest.alias - 95 } - 96 - 97 if unnests: - 98 expression = expression.copy() + 88def _unqualify_unnest(expression: exp.Expression) -> exp.Expression: + 89 """Remove references to unnest table aliases since bigquery doesn't allow them. + 90 + 91 These are added by the optimizer's qualify_column step. + 92 """ + 93 if isinstance(expression, exp.Select): + 94 unnests = { + 95 unnest.alias + 96 for unnest in expression.args.get("from", exp.From(expressions=[])).expressions + 97 if isinstance(unnest, exp.Unnest) and unnest.alias + 98 } 99 -100 for select in expression.expressions: -101 for column in select.find_all(exp.Column): -102 if column.table in unnests: -103 column.set("table", None) -104 -105 return expression -106 +100 if unnests: +101 expression = expression.copy() +102 +103 for select in expression.expressions: +104 for column in select.find_all(exp.Column): +105 if column.table in unnests: +106 column.set("table", None) 107 -108class BigQuery(Dialect): -109 unnest_column_only = True -110 time_mapping = { -111 "%M": "%-M", -112 "%d": "%-d", -113 "%m": "%-m", -114 "%y": "%-y", -115 "%H": "%-H", -116 "%I": "%-I", -117 "%S": "%-S", -118 "%j": "%-j", -119 } -120 -121 class Tokenizer(tokens.Tokenizer): -122 QUOTES = [ -123 (prefix + quote, quote) if prefix else quote -124 for quote in ["'", '"', '"""', "'''"] -125 for prefix in ["", "r", "R"] -126 ] -127 COMMENTS = ["--", "#", ("/*", "*/")] -128 IDENTIFIERS = ["`"] -129 STRING_ESCAPES = ["\\"] -130 HEX_STRINGS = [("0x", ""), ("0X", "")] -131 -132 KEYWORDS = { -133 **tokens.Tokenizer.KEYWORDS, -134 "ANY TYPE": TokenType.VARIANT, -135 "BEGIN": TokenType.COMMAND, -136 "BEGIN TRANSACTION": TokenType.BEGIN, -137 "CURRENT_DATETIME": TokenType.CURRENT_DATETIME, -138 "DECLARE": TokenType.COMMAND, -139 "GEOGRAPHY": TokenType.GEOGRAPHY, -140 "FLOAT64": TokenType.DOUBLE, -141 "INT64": TokenType.BIGINT, -142 "NOT DETERMINISTIC": TokenType.VOLATILE, -143 "UNKNOWN": TokenType.NULL, -144 } -145 KEYWORDS.pop("DIV") -146 -147 class Parser(parser.Parser): -148 PREFIXED_PIVOT_COLUMNS = True -149 -150 LOG_BASE_FIRST = False -151 LOG_DEFAULTS_TO_LN = True -152 -153 FUNCTIONS = { -154 **parser.Parser.FUNCTIONS, # type: ignore -155 "DATE_TRUNC": lambda args: exp.DateTrunc( -156 unit=exp.Literal.string(seq_get(args, 1).name), # type: ignore -157 this=seq_get(args, 0), -158 ), -159 "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd), -160 "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd), -161 "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)), -162 "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list, -163 "REGEXP_EXTRACT": lambda args: exp.RegexpExtract( -164 this=seq_get(args, 0), -165 expression=seq_get(args, 1), -166 position=seq_get(args, 2), -167 occurrence=seq_get(args, 3), -168 group=exp.Literal.number(1) -169 if re.compile(str(seq_get(args, 1))).groups == 1 -170 else None, -171 ), -172 "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd), -173 "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd), -174 "DATE_SUB": parse_date_delta_with_interval(exp.DateSub), -175 "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub), -176 "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub), -177 "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub), -178 "PARSE_TIMESTAMP": lambda args: exp.StrToTime( -179 this=seq_get(args, 1), format=seq_get(args, 0) -180 ), -181 } -182 -183 FUNCTION_PARSERS = { -184 **parser.Parser.FUNCTION_PARSERS, # type: ignore -185 "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]), -186 } -187 FUNCTION_PARSERS.pop("TRIM") -188 -189 NO_PAREN_FUNCTIONS = { -190 **parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore -191 TokenType.CURRENT_DATETIME: exp.CurrentDatetime, -192 } -193 -194 NESTED_TYPE_TOKENS = { -195 *parser.Parser.NESTED_TYPE_TOKENS, # type: ignore -196 TokenType.TABLE, -197 } -198 -199 ID_VAR_TOKENS = { -200 *parser.Parser.ID_VAR_TOKENS, # type: ignore -201 TokenType.VALUES, -202 } -203 -204 PROPERTY_PARSERS = { -205 **parser.Parser.PROPERTY_PARSERS, # type: ignore -206 "NOT DETERMINISTIC": lambda self: self.expression( -207 exp.StabilityProperty, this=exp.Literal.string("VOLATILE") -208 ), -209 } -210 -211 class Generator(generator.Generator): -212 EXPLICIT_UNION = True -213 INTERVAL_ALLOWS_PLURAL_FORM = False -214 JOIN_HINTS = False -215 TABLE_HINTS = False -216 LIMIT_FETCH = "LIMIT" -217 -218 TRANSFORMS = { -219 **generator.Generator.TRANSFORMS, # type: ignore -220 **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES, # type: ignore -221 exp.ArraySize: rename_func("ARRAY_LENGTH"), -222 exp.AtTimeZone: lambda self, e: self.func( -223 "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone")) -224 ), -225 exp.DateAdd: _date_add_sql("DATE", "ADD"), -226 exp.DateSub: _date_add_sql("DATE", "SUB"), -227 exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"), -228 exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"), -229 exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})", -230 exp.DateStrToDate: datestrtodate_sql, -231 exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")), -232 exp.GroupConcat: rename_func("STRING_AGG"), -233 exp.ILike: no_ilike_sql, -234 exp.IntDiv: rename_func("DIV"), -235 exp.Max: max_or_greatest, -236 exp.Min: min_or_least, -237 exp.Select: transforms.preprocess([_unqualify_unnest]), -238 exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})", -239 exp.TimeAdd: _date_add_sql("TIME", "ADD"), -240 exp.TimeSub: _date_add_sql("TIME", "SUB"), -241 exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"), -242 exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"), -243 exp.TimeStrToTime: timestrtotime_sql, -244 exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"), -245 exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"), -246 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", -247 exp.VariancePop: rename_func("VAR_POP"), -248 exp.Values: _derived_table_values_to_unnest, -249 exp.ReturnsProperty: _returnsproperty_sql, -250 exp.Create: _create_sql, -251 exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression), -252 exp.StabilityProperty: lambda self, e: f"DETERMINISTIC" -253 if e.name == "IMMUTABLE" -254 else "NOT DETERMINISTIC", -255 exp.RegexpLike: rename_func("REGEXP_CONTAINS"), -256 } -257 -258 TYPE_MAPPING = { -259 **generator.Generator.TYPE_MAPPING, # type: ignore -260 exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC", -261 exp.DataType.Type.BIGINT: "INT64", -262 exp.DataType.Type.BOOLEAN: "BOOL", -263 exp.DataType.Type.CHAR: "STRING", -264 exp.DataType.Type.DECIMAL: "NUMERIC", -265 exp.DataType.Type.DOUBLE: "FLOAT64", -266 exp.DataType.Type.FLOAT: "FLOAT64", -267 exp.DataType.Type.INT: "INT64", -268 exp.DataType.Type.NCHAR: "STRING", -269 exp.DataType.Type.NVARCHAR: "STRING", -270 exp.DataType.Type.SMALLINT: "INT64", -271 exp.DataType.Type.TEXT: "STRING", -272 exp.DataType.Type.TIMESTAMP: "DATETIME", -273 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -274 exp.DataType.Type.TINYINT: "INT64", -275 exp.DataType.Type.VARCHAR: "STRING", -276 exp.DataType.Type.VARIANT: "ANY TYPE", -277 } -278 -279 PROPERTIES_LOCATION = { -280 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -281 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, -282 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -283 } -284 -285 def array_sql(self, expression: exp.Array) -> str: -286 first_arg = seq_get(expression.expressions, 0) -287 if isinstance(first_arg, exp.Subqueryable): -288 return f"ARRAY{self.wrap(self.sql(first_arg))}" -289 -290 return inline_array_sql(self, expression) -291 -292 def transaction_sql(self, *_) -> str: -293 return "BEGIN TRANSACTION" -294 -295 def commit_sql(self, *_) -> str: -296 return "COMMIT TRANSACTION" -297 -298 def rollback_sql(self, *_) -> str: -299 return "ROLLBACK TRANSACTION" -300 -301 def in_unnest_op(self, expression: exp.Unnest) -> str: -302 return self.sql(expression) +108 return expression +109 +110 +111class BigQuery(Dialect): +112 unnest_column_only = True +113 time_mapping = { +114 "%M": "%-M", +115 "%d": "%-d", +116 "%m": "%-m", +117 "%y": "%-y", +118 "%H": "%-H", +119 "%I": "%-I", +120 "%S": "%-S", +121 "%j": "%-j", +122 } +123 +124 class Tokenizer(tokens.Tokenizer): +125 QUOTES = [ +126 (prefix + quote, quote) if prefix else quote +127 for quote in ["'", '"', '"""', "'''"] +128 for prefix in ["", "r", "R"] +129 ] +130 COMMENTS = ["--", "#", ("/*", "*/")] +131 IDENTIFIERS = ["`"] +132 STRING_ESCAPES = ["\\"] +133 HEX_STRINGS = [("0x", ""), ("0X", "")] +134 +135 KEYWORDS = { +136 **tokens.Tokenizer.KEYWORDS, +137 "ANY TYPE": TokenType.VARIANT, +138 "BEGIN": TokenType.COMMAND, +139 "BEGIN TRANSACTION": TokenType.BEGIN, +140 "CURRENT_DATETIME": TokenType.CURRENT_DATETIME, +141 "DECLARE": TokenType.COMMAND, +142 "GEOGRAPHY": TokenType.GEOGRAPHY, +143 "FLOAT64": TokenType.DOUBLE, +144 "INT64": TokenType.BIGINT, +145 "BYTES": TokenType.BINARY, +146 "NOT DETERMINISTIC": TokenType.VOLATILE, +147 "UNKNOWN": TokenType.NULL, +148 } +149 KEYWORDS.pop("DIV") +150 +151 class Parser(parser.Parser): +152 PREFIXED_PIVOT_COLUMNS = True +153 +154 LOG_BASE_FIRST = False +155 LOG_DEFAULTS_TO_LN = True +156 +157 FUNCTIONS = { +158 **parser.Parser.FUNCTIONS, # type: ignore +159 "DATE_TRUNC": lambda args: exp.DateTrunc( +160 unit=exp.Literal.string(seq_get(args, 1).name), # type: ignore +161 this=seq_get(args, 0), +162 ), +163 "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd), +164 "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd), +165 "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)), +166 "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list, +167 "REGEXP_EXTRACT": lambda args: exp.RegexpExtract( +168 this=seq_get(args, 0), +169 expression=seq_get(args, 1), +170 position=seq_get(args, 2), +171 occurrence=seq_get(args, 3), +172 group=exp.Literal.number(1) +173 if re.compile(str(seq_get(args, 1))).groups == 1 +174 else None, +175 ), +176 "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd), +177 "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd), +178 "DATE_SUB": parse_date_delta_with_interval(exp.DateSub), +179 "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub), +180 "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub), +181 "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub), +182 "PARSE_TIMESTAMP": lambda args: exp.StrToTime( +183 this=seq_get(args, 1), format=seq_get(args, 0) +184 ), +185 } +186 +187 FUNCTION_PARSERS = { +188 **parser.Parser.FUNCTION_PARSERS, # type: ignore +189 "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]), +190 } +191 FUNCTION_PARSERS.pop("TRIM") +192 +193 NO_PAREN_FUNCTIONS = { +194 **parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore +195 TokenType.CURRENT_DATETIME: exp.CurrentDatetime, +196 } +197 +198 NESTED_TYPE_TOKENS = { +199 *parser.Parser.NESTED_TYPE_TOKENS, # type: ignore +200 TokenType.TABLE, +201 } +202 +203 ID_VAR_TOKENS = { +204 *parser.Parser.ID_VAR_TOKENS, # type: ignore +205 TokenType.VALUES, +206 } +207 +208 PROPERTY_PARSERS = { +209 **parser.Parser.PROPERTY_PARSERS, # type: ignore +210 "NOT DETERMINISTIC": lambda self: self.expression( +211 exp.StabilityProperty, this=exp.Literal.string("VOLATILE") +212 ), +213 "OPTIONS": lambda self: self._parse_with_property(), +214 } +215 +216 CONSTRAINT_PARSERS = { +217 **parser.Parser.CONSTRAINT_PARSERS, # type: ignore +218 "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()), +219 } +220 +221 class Generator(generator.Generator): +222 EXPLICIT_UNION = True +223 INTERVAL_ALLOWS_PLURAL_FORM = False +224 JOIN_HINTS = False +225 TABLE_HINTS = False +226 LIMIT_FETCH = "LIMIT" +227 +228 TRANSFORMS = { +229 **generator.Generator.TRANSFORMS, # type: ignore +230 exp.ArraySize: rename_func("ARRAY_LENGTH"), +231 exp.AtTimeZone: lambda self, e: self.func( +232 "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone")) +233 ), +234 exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]), +235 exp.DateAdd: _date_add_sql("DATE", "ADD"), +236 exp.DateSub: _date_add_sql("DATE", "SUB"), +237 exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"), +238 exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"), +239 exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})", +240 exp.DateStrToDate: datestrtodate_sql, +241 exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")), +242 exp.GroupConcat: rename_func("STRING_AGG"), +243 exp.ILike: no_ilike_sql, +244 exp.IntDiv: rename_func("DIV"), +245 exp.Max: max_or_greatest, +246 exp.Min: min_or_least, +247 exp.Select: transforms.preprocess( +248 [_unqualify_unnest, transforms.eliminate_distinct_on] +249 ), +250 exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})", +251 exp.TimeAdd: _date_add_sql("TIME", "ADD"), +252 exp.TimeSub: _date_add_sql("TIME", "SUB"), +253 exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"), +254 exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"), +255 exp.TimeStrToTime: timestrtotime_sql, +256 exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"), +257 exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"), +258 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", +259 exp.VariancePop: rename_func("VAR_POP"), +260 exp.Values: _derived_table_values_to_unnest, +261 exp.ReturnsProperty: _returnsproperty_sql, +262 exp.Create: _create_sql, +263 exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression), +264 exp.StabilityProperty: lambda self, e: f"DETERMINISTIC" +265 if e.name == "IMMUTABLE" +266 else "NOT DETERMINISTIC", +267 exp.RegexpLike: rename_func("REGEXP_CONTAINS"), +268 } +269 +270 TYPE_MAPPING = { +271 **generator.Generator.TYPE_MAPPING, # type: ignore +272 exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC", +273 exp.DataType.Type.BIGINT: "INT64", +274 exp.DataType.Type.BINARY: "BYTES", +275 exp.DataType.Type.BOOLEAN: "BOOL", +276 exp.DataType.Type.CHAR: "STRING", +277 exp.DataType.Type.DECIMAL: "NUMERIC", +278 exp.DataType.Type.DOUBLE: "FLOAT64", +279 exp.DataType.Type.FLOAT: "FLOAT64", +280 exp.DataType.Type.INT: "INT64", +281 exp.DataType.Type.NCHAR: "STRING", +282 exp.DataType.Type.NVARCHAR: "STRING", +283 exp.DataType.Type.SMALLINT: "INT64", +284 exp.DataType.Type.TEXT: "STRING", +285 exp.DataType.Type.TIMESTAMP: "DATETIME", +286 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +287 exp.DataType.Type.TINYINT: "INT64", +288 exp.DataType.Type.VARBINARY: "BYTES", +289 exp.DataType.Type.VARCHAR: "STRING", +290 exp.DataType.Type.VARIANT: "ANY TYPE", +291 } +292 +293 PROPERTIES_LOCATION = { +294 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +295 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +296 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +297 } +298 +299 def array_sql(self, expression: exp.Array) -> str: +300 first_arg = seq_get(expression.expressions, 0) +301 if isinstance(first_arg, exp.Subqueryable): +302 return f"ARRAY{self.wrap(self.sql(first_arg))}" 303 -304 def except_op(self, expression: exp.Except) -> str: -305 if not expression.args.get("distinct", False): -306 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") -307 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +304 return inline_array_sql(self, expression) +305 +306 def transaction_sql(self, *_) -> str: +307 return "BEGIN TRANSACTION" 308 -309 def intersect_op(self, expression: exp.Intersect) -> str: -310 if not expression.args.get("distinct", False): -311 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") -312 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +309 def commit_sql(self, *_) -> str: +310 return "COMMIT TRANSACTION" +311 +312 def rollback_sql(self, *_) -> str: +313 return "ROLLBACK TRANSACTION" +314 +315 def in_unnest_op(self, expression: exp.Unnest) -> str: +316 return self.sql(expression) +317 +318 def except_op(self, expression: exp.Except) -> str: +319 if not expression.args.get("distinct", False): +320 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") +321 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +322 +323 def intersect_op(self, expression: exp.Intersect) -> str: +324 if not expression.args.get("distinct", False): +325 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") +326 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +327 +328 def with_properties(self, properties: exp.Properties) -> str: +329 return self.properties(properties, prefix=self.seg("OPTIONS"))-109class BigQuery(Dialect): -110 unnest_column_only = True -111 time_mapping = { -112 "%M": "%-M", -113 "%d": "%-d", -114 "%m": "%-m", -115 "%y": "%-y", -116 "%H": "%-H", -117 "%I": "%-I", -118 "%S": "%-S", -119 "%j": "%-j", -120 } -121 -122 class Tokenizer(tokens.Tokenizer): -123 QUOTES = [ -124 (prefix + quote, quote) if prefix else quote -125 for quote in ["'", '"', '"""', "'''"] -126 for prefix in ["", "r", "R"] -127 ] -128 COMMENTS = ["--", "#", ("/*", "*/")] -129 IDENTIFIERS = ["`"] -130 STRING_ESCAPES = ["\\"] -131 HEX_STRINGS = [("0x", ""), ("0X", "")] -132 -133 KEYWORDS = { -134 **tokens.Tokenizer.KEYWORDS, -135 "ANY TYPE": TokenType.VARIANT, -136 "BEGIN": TokenType.COMMAND, -137 "BEGIN TRANSACTION": TokenType.BEGIN, -138 "CURRENT_DATETIME": TokenType.CURRENT_DATETIME, -139 "DECLARE": TokenType.COMMAND, -140 "GEOGRAPHY": TokenType.GEOGRAPHY, -141 "FLOAT64": TokenType.DOUBLE, -142 "INT64": TokenType.BIGINT, -143 "NOT DETERMINISTIC": TokenType.VOLATILE, -144 "UNKNOWN": TokenType.NULL, -145 } -146 KEYWORDS.pop("DIV") -147 -148 class Parser(parser.Parser): -149 PREFIXED_PIVOT_COLUMNS = True -150 -151 LOG_BASE_FIRST = False -152 LOG_DEFAULTS_TO_LN = True -153 -154 FUNCTIONS = { -155 **parser.Parser.FUNCTIONS, # type: ignore -156 "DATE_TRUNC": lambda args: exp.DateTrunc( -157 unit=exp.Literal.string(seq_get(args, 1).name), # type: ignore -158 this=seq_get(args, 0), -159 ), -160 "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd), -161 "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd), -162 "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)), -163 "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list, -164 "REGEXP_EXTRACT": lambda args: exp.RegexpExtract( -165 this=seq_get(args, 0), -166 expression=seq_get(args, 1), -167 position=seq_get(args, 2), -168 occurrence=seq_get(args, 3), -169 group=exp.Literal.number(1) -170 if re.compile(str(seq_get(args, 1))).groups == 1 -171 else None, -172 ), -173 "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd), -174 "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd), -175 "DATE_SUB": parse_date_delta_with_interval(exp.DateSub), -176 "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub), -177 "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub), -178 "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub), -179 "PARSE_TIMESTAMP": lambda args: exp.StrToTime( -180 this=seq_get(args, 1), format=seq_get(args, 0) -181 ), -182 } -183 -184 FUNCTION_PARSERS = { -185 **parser.Parser.FUNCTION_PARSERS, # type: ignore -186 "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]), -187 } -188 FUNCTION_PARSERS.pop("TRIM") -189 -190 NO_PAREN_FUNCTIONS = { -191 **parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore -192 TokenType.CURRENT_DATETIME: exp.CurrentDatetime, -193 } -194 -195 NESTED_TYPE_TOKENS = { -196 *parser.Parser.NESTED_TYPE_TOKENS, # type: ignore -197 TokenType.TABLE, -198 } -199 -200 ID_VAR_TOKENS = { -201 *parser.Parser.ID_VAR_TOKENS, # type: ignore -202 TokenType.VALUES, -203 } -204 -205 PROPERTY_PARSERS = { -206 **parser.Parser.PROPERTY_PARSERS, # type: ignore -207 "NOT DETERMINISTIC": lambda self: self.expression( -208 exp.StabilityProperty, this=exp.Literal.string("VOLATILE") -209 ), -210 } -211 -212 class Generator(generator.Generator): -213 EXPLICIT_UNION = True -214 INTERVAL_ALLOWS_PLURAL_FORM = False -215 JOIN_HINTS = False -216 TABLE_HINTS = False -217 LIMIT_FETCH = "LIMIT" -218 -219 TRANSFORMS = { -220 **generator.Generator.TRANSFORMS, # type: ignore -221 **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES, # type: ignore -222 exp.ArraySize: rename_func("ARRAY_LENGTH"), -223 exp.AtTimeZone: lambda self, e: self.func( -224 "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone")) -225 ), -226 exp.DateAdd: _date_add_sql("DATE", "ADD"), -227 exp.DateSub: _date_add_sql("DATE", "SUB"), -228 exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"), -229 exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"), -230 exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})", -231 exp.DateStrToDate: datestrtodate_sql, -232 exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")), -233 exp.GroupConcat: rename_func("STRING_AGG"), -234 exp.ILike: no_ilike_sql, -235 exp.IntDiv: rename_func("DIV"), -236 exp.Max: max_or_greatest, -237 exp.Min: min_or_least, -238 exp.Select: transforms.preprocess([_unqualify_unnest]), -239 exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})", -240 exp.TimeAdd: _date_add_sql("TIME", "ADD"), -241 exp.TimeSub: _date_add_sql("TIME", "SUB"), -242 exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"), -243 exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"), -244 exp.TimeStrToTime: timestrtotime_sql, -245 exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"), -246 exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"), -247 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", -248 exp.VariancePop: rename_func("VAR_POP"), -249 exp.Values: _derived_table_values_to_unnest, -250 exp.ReturnsProperty: _returnsproperty_sql, -251 exp.Create: _create_sql, -252 exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression), -253 exp.StabilityProperty: lambda self, e: f"DETERMINISTIC" -254 if e.name == "IMMUTABLE" -255 else "NOT DETERMINISTIC", -256 exp.RegexpLike: rename_func("REGEXP_CONTAINS"), -257 } -258 -259 TYPE_MAPPING = { -260 **generator.Generator.TYPE_MAPPING, # type: ignore -261 exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC", -262 exp.DataType.Type.BIGINT: "INT64", -263 exp.DataType.Type.BOOLEAN: "BOOL", -264 exp.DataType.Type.CHAR: "STRING", -265 exp.DataType.Type.DECIMAL: "NUMERIC", -266 exp.DataType.Type.DOUBLE: "FLOAT64", -267 exp.DataType.Type.FLOAT: "FLOAT64", -268 exp.DataType.Type.INT: "INT64", -269 exp.DataType.Type.NCHAR: "STRING", -270 exp.DataType.Type.NVARCHAR: "STRING", -271 exp.DataType.Type.SMALLINT: "INT64", -272 exp.DataType.Type.TEXT: "STRING", -273 exp.DataType.Type.TIMESTAMP: "DATETIME", -274 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -275 exp.DataType.Type.TINYINT: "INT64", -276 exp.DataType.Type.VARCHAR: "STRING", -277 exp.DataType.Type.VARIANT: "ANY TYPE", -278 } -279 -280 PROPERTIES_LOCATION = { -281 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -282 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, -283 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -284 } -285 -286 def array_sql(self, expression: exp.Array) -> str: -287 first_arg = seq_get(expression.expressions, 0) -288 if isinstance(first_arg, exp.Subqueryable): -289 return f"ARRAY{self.wrap(self.sql(first_arg))}" -290 -291 return inline_array_sql(self, expression) -292 -293 def transaction_sql(self, *_) -> str: -294 return "BEGIN TRANSACTION" -295 -296 def commit_sql(self, *_) -> str: -297 return "COMMIT TRANSACTION" -298 -299 def rollback_sql(self, *_) -> str: -300 return "ROLLBACK TRANSACTION" -301 -302 def in_unnest_op(self, expression: exp.Unnest) -> str: -303 return self.sql(expression) +@@ -664,31 +698,32 @@112class BigQuery(Dialect): +113 unnest_column_only = True +114 time_mapping = { +115 "%M": "%-M", +116 "%d": "%-d", +117 "%m": "%-m", +118 "%y": "%-y", +119 "%H": "%-H", +120 "%I": "%-I", +121 "%S": "%-S", +122 "%j": "%-j", +123 } +124 +125 class Tokenizer(tokens.Tokenizer): +126 QUOTES = [ +127 (prefix + quote, quote) if prefix else quote +128 for quote in ["'", '"', '"""', "'''"] +129 for prefix in ["", "r", "R"] +130 ] +131 COMMENTS = ["--", "#", ("/*", "*/")] +132 IDENTIFIERS = ["`"] +133 STRING_ESCAPES = ["\\"] +134 HEX_STRINGS = [("0x", ""), ("0X", "")] +135 +136 KEYWORDS = { +137 **tokens.Tokenizer.KEYWORDS, +138 "ANY TYPE": TokenType.VARIANT, +139 "BEGIN": TokenType.COMMAND, +140 "BEGIN TRANSACTION": TokenType.BEGIN, +141 "CURRENT_DATETIME": TokenType.CURRENT_DATETIME, +142 "DECLARE": TokenType.COMMAND, +143 "GEOGRAPHY": TokenType.GEOGRAPHY, +144 "FLOAT64": TokenType.DOUBLE, +145 "INT64": TokenType.BIGINT, +146 "BYTES": TokenType.BINARY, +147 "NOT DETERMINISTIC": TokenType.VOLATILE, +148 "UNKNOWN": TokenType.NULL, +149 } +150 KEYWORDS.pop("DIV") +151 +152 class Parser(parser.Parser): +153 PREFIXED_PIVOT_COLUMNS = True +154 +155 LOG_BASE_FIRST = False +156 LOG_DEFAULTS_TO_LN = True +157 +158 FUNCTIONS = { +159 **parser.Parser.FUNCTIONS, # type: ignore +160 "DATE_TRUNC": lambda args: exp.DateTrunc( +161 unit=exp.Literal.string(seq_get(args, 1).name), # type: ignore +162 this=seq_get(args, 0), +163 ), +164 "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd), +165 "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd), +166 "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)), +167 "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list, +168 "REGEXP_EXTRACT": lambda args: exp.RegexpExtract( +169 this=seq_get(args, 0), +170 expression=seq_get(args, 1), +171 position=seq_get(args, 2), +172 occurrence=seq_get(args, 3), +173 group=exp.Literal.number(1) +174 if re.compile(str(seq_get(args, 1))).groups == 1 +175 else None, +176 ), +177 "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd), +178 "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd), +179 "DATE_SUB": parse_date_delta_with_interval(exp.DateSub), +180 "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub), +181 "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub), +182 "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub), +183 "PARSE_TIMESTAMP": lambda args: exp.StrToTime( +184 this=seq_get(args, 1), format=seq_get(args, 0) +185 ), +186 } +187 +188 FUNCTION_PARSERS = { +189 **parser.Parser.FUNCTION_PARSERS, # type: ignore +190 "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]), +191 } +192 FUNCTION_PARSERS.pop("TRIM") +193 +194 NO_PAREN_FUNCTIONS = { +195 **parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore +196 TokenType.CURRENT_DATETIME: exp.CurrentDatetime, +197 } +198 +199 NESTED_TYPE_TOKENS = { +200 *parser.Parser.NESTED_TYPE_TOKENS, # type: ignore +201 TokenType.TABLE, +202 } +203 +204 ID_VAR_TOKENS = { +205 *parser.Parser.ID_VAR_TOKENS, # type: ignore +206 TokenType.VALUES, +207 } +208 +209 PROPERTY_PARSERS = { +210 **parser.Parser.PROPERTY_PARSERS, # type: ignore +211 "NOT DETERMINISTIC": lambda self: self.expression( +212 exp.StabilityProperty, this=exp.Literal.string("VOLATILE") +213 ), +214 "OPTIONS": lambda self: self._parse_with_property(), +215 } +216 +217 CONSTRAINT_PARSERS = { +218 **parser.Parser.CONSTRAINT_PARSERS, # type: ignore +219 "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()), +220 } +221 +222 class Generator(generator.Generator): +223 EXPLICIT_UNION = True +224 INTERVAL_ALLOWS_PLURAL_FORM = False +225 JOIN_HINTS = False +226 TABLE_HINTS = False +227 LIMIT_FETCH = "LIMIT" +228 +229 TRANSFORMS = { +230 **generator.Generator.TRANSFORMS, # type: ignore +231 exp.ArraySize: rename_func("ARRAY_LENGTH"), +232 exp.AtTimeZone: lambda self, e: self.func( +233 "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone")) +234 ), +235 exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]), +236 exp.DateAdd: _date_add_sql("DATE", "ADD"), +237 exp.DateSub: _date_add_sql("DATE", "SUB"), +238 exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"), +239 exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"), +240 exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})", +241 exp.DateStrToDate: datestrtodate_sql, +242 exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")), +243 exp.GroupConcat: rename_func("STRING_AGG"), +244 exp.ILike: no_ilike_sql, +245 exp.IntDiv: rename_func("DIV"), +246 exp.Max: max_or_greatest, +247 exp.Min: min_or_least, +248 exp.Select: transforms.preprocess( +249 [_unqualify_unnest, transforms.eliminate_distinct_on] +250 ), +251 exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})", +252 exp.TimeAdd: _date_add_sql("TIME", "ADD"), +253 exp.TimeSub: _date_add_sql("TIME", "SUB"), +254 exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"), +255 exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"), +256 exp.TimeStrToTime: timestrtotime_sql, +257 exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"), +258 exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"), +259 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", +260 exp.VariancePop: rename_func("VAR_POP"), +261 exp.Values: _derived_table_values_to_unnest, +262 exp.ReturnsProperty: _returnsproperty_sql, +263 exp.Create: _create_sql, +264 exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression), +265 exp.StabilityProperty: lambda self, e: f"DETERMINISTIC" +266 if e.name == "IMMUTABLE" +267 else "NOT DETERMINISTIC", +268 exp.RegexpLike: rename_func("REGEXP_CONTAINS"), +269 } +270 +271 TYPE_MAPPING = { +272 **generator.Generator.TYPE_MAPPING, # type: ignore +273 exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC", +274 exp.DataType.Type.BIGINT: "INT64", +275 exp.DataType.Type.BINARY: "BYTES", +276 exp.DataType.Type.BOOLEAN: "BOOL", +277 exp.DataType.Type.CHAR: "STRING", +278 exp.DataType.Type.DECIMAL: "NUMERIC", +279 exp.DataType.Type.DOUBLE: "FLOAT64", +280 exp.DataType.Type.FLOAT: "FLOAT64", +281 exp.DataType.Type.INT: "INT64", +282 exp.DataType.Type.NCHAR: "STRING", +283 exp.DataType.Type.NVARCHAR: "STRING", +284 exp.DataType.Type.SMALLINT: "INT64", +285 exp.DataType.Type.TEXT: "STRING", +286 exp.DataType.Type.TIMESTAMP: "DATETIME", +287 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +288 exp.DataType.Type.TINYINT: "INT64", +289 exp.DataType.Type.VARBINARY: "BYTES", +290 exp.DataType.Type.VARCHAR: "STRING", +291 exp.DataType.Type.VARIANT: "ANY TYPE", +292 } +293 +294 PROPERTIES_LOCATION = { +295 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +296 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +297 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +298 } +299 +300 def array_sql(self, expression: exp.Array) -> str: +301 first_arg = seq_get(expression.expressions, 0) +302 if isinstance(first_arg, exp.Subqueryable): +303 return f"ARRAY{self.wrap(self.sql(first_arg))}" 304 -305 def except_op(self, expression: exp.Except) -> str: -306 if not expression.args.get("distinct", False): -307 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") -308 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +305 return inline_array_sql(self, expression) +306 +307 def transaction_sql(self, *_) -> str: +308 return "BEGIN TRANSACTION" 309 -310 def intersect_op(self, expression: exp.Intersect) -> str: -311 if not expression.args.get("distinct", False): -312 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") -313 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +310 def commit_sql(self, *_) -> str: +311 return "COMMIT TRANSACTION" +312 +313 def rollback_sql(self, *_) -> str: +314 return "ROLLBACK TRANSACTION" +315 +316 def in_unnest_op(self, expression: exp.Unnest) -> str: +317 return self.sql(expression) +318 +319 def except_op(self, expression: exp.Except) -> str: +320 if not expression.args.get("distinct", False): +321 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") +322 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +323 +324 def intersect_op(self, expression: exp.Intersect) -> str: +325 if not expression.args.get("distinct", False): +326 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") +327 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +328 +329 def with_properties(self, properties: exp.Properties) -> str: +330 return self.properties(properties, prefix=self.seg("OPTIONS"))-122 class Tokenizer(tokens.Tokenizer): -123 QUOTES = [ -124 (prefix + quote, quote) if prefix else quote -125 for quote in ["'", '"', '"""', "'''"] -126 for prefix in ["", "r", "R"] -127 ] -128 COMMENTS = ["--", "#", ("/*", "*/")] -129 IDENTIFIERS = ["`"] -130 STRING_ESCAPES = ["\\"] -131 HEX_STRINGS = [("0x", ""), ("0X", "")] -132 -133 KEYWORDS = { -134 **tokens.Tokenizer.KEYWORDS, -135 "ANY TYPE": TokenType.VARIANT, -136 "BEGIN": TokenType.COMMAND, -137 "BEGIN TRANSACTION": TokenType.BEGIN, -138 "CURRENT_DATETIME": TokenType.CURRENT_DATETIME, -139 "DECLARE": TokenType.COMMAND, -140 "GEOGRAPHY": TokenType.GEOGRAPHY, -141 "FLOAT64": TokenType.DOUBLE, -142 "INT64": TokenType.BIGINT, -143 "NOT DETERMINISTIC": TokenType.VOLATILE, -144 "UNKNOWN": TokenType.NULL, -145 } -146 KEYWORDS.pop("DIV") +@@ -716,69 +751,75 @@125 class Tokenizer(tokens.Tokenizer): +126 QUOTES = [ +127 (prefix + quote, quote) if prefix else quote +128 for quote in ["'", '"', '"""', "'''"] +129 for prefix in ["", "r", "R"] +130 ] +131 COMMENTS = ["--", "#", ("/*", "*/")] +132 IDENTIFIERS = ["`"] +133 STRING_ESCAPES = ["\\"] +134 HEX_STRINGS = [("0x", ""), ("0X", "")] +135 +136 KEYWORDS = { +137 **tokens.Tokenizer.KEYWORDS, +138 "ANY TYPE": TokenType.VARIANT, +139 "BEGIN": TokenType.COMMAND, +140 "BEGIN TRANSACTION": TokenType.BEGIN, +141 "CURRENT_DATETIME": TokenType.CURRENT_DATETIME, +142 "DECLARE": TokenType.COMMAND, +143 "GEOGRAPHY": TokenType.GEOGRAPHY, +144 "FLOAT64": TokenType.DOUBLE, +145 "INT64": TokenType.BIGINT, +146 "BYTES": TokenType.BINARY, +147 "NOT DETERMINISTIC": TokenType.VOLATILE, +148 "UNKNOWN": TokenType.NULL, +149 } +150 KEYWORDS.pop("DIV")-148 class Parser(parser.Parser): -149 PREFIXED_PIVOT_COLUMNS = True -150 -151 LOG_BASE_FIRST = False -152 LOG_DEFAULTS_TO_LN = True -153 -154 FUNCTIONS = { -155 **parser.Parser.FUNCTIONS, # type: ignore -156 "DATE_TRUNC": lambda args: exp.DateTrunc( -157 unit=exp.Literal.string(seq_get(args, 1).name), # type: ignore -158 this=seq_get(args, 0), -159 ), -160 "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd), -161 "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd), -162 "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)), -163 "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list, -164 "REGEXP_EXTRACT": lambda args: exp.RegexpExtract( -165 this=seq_get(args, 0), -166 expression=seq_get(args, 1), -167 position=seq_get(args, 2), -168 occurrence=seq_get(args, 3), -169 group=exp.Literal.number(1) -170 if re.compile(str(seq_get(args, 1))).groups == 1 -171 else None, -172 ), -173 "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd), -174 "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd), -175 "DATE_SUB": parse_date_delta_with_interval(exp.DateSub), -176 "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub), -177 "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub), -178 "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub), -179 "PARSE_TIMESTAMP": lambda args: exp.StrToTime( -180 this=seq_get(args, 1), format=seq_get(args, 0) -181 ), -182 } -183 -184 FUNCTION_PARSERS = { -185 **parser.Parser.FUNCTION_PARSERS, # type: ignore -186 "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]), -187 } -188 FUNCTION_PARSERS.pop("TRIM") -189 -190 NO_PAREN_FUNCTIONS = { -191 **parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore -192 TokenType.CURRENT_DATETIME: exp.CurrentDatetime, -193 } -194 -195 NESTED_TYPE_TOKENS = { -196 *parser.Parser.NESTED_TYPE_TOKENS, # type: ignore -197 TokenType.TABLE, -198 } -199 -200 ID_VAR_TOKENS = { -201 *parser.Parser.ID_VAR_TOKENS, # type: ignore -202 TokenType.VALUES, -203 } -204 -205 PROPERTY_PARSERS = { -206 **parser.Parser.PROPERTY_PARSERS, # type: ignore -207 "NOT DETERMINISTIC": lambda self: self.expression( -208 exp.StabilityProperty, this=exp.Literal.string("VOLATILE") -209 ), -210 } +@@ -835,108 +876,115 @@ Default: "nulls_are_small"152 class Parser(parser.Parser): +153 PREFIXED_PIVOT_COLUMNS = True +154 +155 LOG_BASE_FIRST = False +156 LOG_DEFAULTS_TO_LN = True +157 +158 FUNCTIONS = { +159 **parser.Parser.FUNCTIONS, # type: ignore +160 "DATE_TRUNC": lambda args: exp.DateTrunc( +161 unit=exp.Literal.string(seq_get(args, 1).name), # type: ignore +162 this=seq_get(args, 0), +163 ), +164 "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd), +165 "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd), +166 "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)), +167 "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list, +168 "REGEXP_EXTRACT": lambda args: exp.RegexpExtract( +169 this=seq_get(args, 0), +170 expression=seq_get(args, 1), +171 position=seq_get(args, 2), +172 occurrence=seq_get(args, 3), +173 group=exp.Literal.number(1) +174 if re.compile(str(seq_get(args, 1))).groups == 1 +175 else None, +176 ), +177 "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd), +178 "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd), +179 "DATE_SUB": parse_date_delta_with_interval(exp.DateSub), +180 "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub), +181 "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub), +182 "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub), +183 "PARSE_TIMESTAMP": lambda args: exp.StrToTime( +184 this=seq_get(args, 1), format=seq_get(args, 0) +185 ), +186 } +187 +188 FUNCTION_PARSERS = { +189 **parser.Parser.FUNCTION_PARSERS, # type: ignore +190 "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]), +191 } +192 FUNCTION_PARSERS.pop("TRIM") +193 +194 NO_PAREN_FUNCTIONS = { +195 **parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore +196 TokenType.CURRENT_DATETIME: exp.CurrentDatetime, +197 } +198 +199 NESTED_TYPE_TOKENS = { +200 *parser.Parser.NESTED_TYPE_TOKENS, # type: ignore +201 TokenType.TABLE, +202 } +203 +204 ID_VAR_TOKENS = { +205 *parser.Parser.ID_VAR_TOKENS, # type: ignore +206 TokenType.VALUES, +207 } +208 +209 PROPERTY_PARSERS = { +210 **parser.Parser.PROPERTY_PARSERS, # type: ignore +211 "NOT DETERMINISTIC": lambda self: self.expression( +212 exp.StabilityProperty, this=exp.Literal.string("VOLATILE") +213 ), +214 "OPTIONS": lambda self: self._parse_with_property(), +215 } +216 +217 CONSTRAINT_PARSERS = { +218 **parser.Parser.CONSTRAINT_PARSERS, # type: ignore +219 "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()), +220 }-212 class Generator(generator.Generator): -213 EXPLICIT_UNION = True -214 INTERVAL_ALLOWS_PLURAL_FORM = False -215 JOIN_HINTS = False -216 TABLE_HINTS = False -217 LIMIT_FETCH = "LIMIT" -218 -219 TRANSFORMS = { -220 **generator.Generator.TRANSFORMS, # type: ignore -221 **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES, # type: ignore -222 exp.ArraySize: rename_func("ARRAY_LENGTH"), -223 exp.AtTimeZone: lambda self, e: self.func( -224 "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone")) -225 ), -226 exp.DateAdd: _date_add_sql("DATE", "ADD"), -227 exp.DateSub: _date_add_sql("DATE", "SUB"), -228 exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"), -229 exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"), -230 exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})", -231 exp.DateStrToDate: datestrtodate_sql, -232 exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")), -233 exp.GroupConcat: rename_func("STRING_AGG"), -234 exp.ILike: no_ilike_sql, -235 exp.IntDiv: rename_func("DIV"), -236 exp.Max: max_or_greatest, -237 exp.Min: min_or_least, -238 exp.Select: transforms.preprocess([_unqualify_unnest]), -239 exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})", -240 exp.TimeAdd: _date_add_sql("TIME", "ADD"), -241 exp.TimeSub: _date_add_sql("TIME", "SUB"), -242 exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"), -243 exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"), -244 exp.TimeStrToTime: timestrtotime_sql, -245 exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"), -246 exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"), -247 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", -248 exp.VariancePop: rename_func("VAR_POP"), -249 exp.Values: _derived_table_values_to_unnest, -250 exp.ReturnsProperty: _returnsproperty_sql, -251 exp.Create: _create_sql, -252 exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression), -253 exp.StabilityProperty: lambda self, e: f"DETERMINISTIC" -254 if e.name == "IMMUTABLE" -255 else "NOT DETERMINISTIC", -256 exp.RegexpLike: rename_func("REGEXP_CONTAINS"), -257 } -258 -259 TYPE_MAPPING = { -260 **generator.Generator.TYPE_MAPPING, # type: ignore -261 exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC", -262 exp.DataType.Type.BIGINT: "INT64", -263 exp.DataType.Type.BOOLEAN: "BOOL", -264 exp.DataType.Type.CHAR: "STRING", -265 exp.DataType.Type.DECIMAL: "NUMERIC", -266 exp.DataType.Type.DOUBLE: "FLOAT64", -267 exp.DataType.Type.FLOAT: "FLOAT64", -268 exp.DataType.Type.INT: "INT64", -269 exp.DataType.Type.NCHAR: "STRING", -270 exp.DataType.Type.NVARCHAR: "STRING", -271 exp.DataType.Type.SMALLINT: "INT64", -272 exp.DataType.Type.TEXT: "STRING", -273 exp.DataType.Type.TIMESTAMP: "DATETIME", -274 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -275 exp.DataType.Type.TINYINT: "INT64", -276 exp.DataType.Type.VARCHAR: "STRING", -277 exp.DataType.Type.VARIANT: "ANY TYPE", -278 } -279 -280 PROPERTIES_LOCATION = { -281 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -282 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, -283 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -284 } -285 -286 def array_sql(self, expression: exp.Array) -> str: -287 first_arg = seq_get(expression.expressions, 0) -288 if isinstance(first_arg, exp.Subqueryable): -289 return f"ARRAY{self.wrap(self.sql(first_arg))}" -290 -291 return inline_array_sql(self, expression) -292 -293 def transaction_sql(self, *_) -> str: -294 return "BEGIN TRANSACTION" -295 -296 def commit_sql(self, *_) -> str: -297 return "COMMIT TRANSACTION" -298 -299 def rollback_sql(self, *_) -> str: -300 return "ROLLBACK TRANSACTION" -301 -302 def in_unnest_op(self, expression: exp.Unnest) -> str: -303 return self.sql(expression) +@@ -995,12 +1043,12 @@ Default: True222 class Generator(generator.Generator): +223 EXPLICIT_UNION = True +224 INTERVAL_ALLOWS_PLURAL_FORM = False +225 JOIN_HINTS = False +226 TABLE_HINTS = False +227 LIMIT_FETCH = "LIMIT" +228 +229 TRANSFORMS = { +230 **generator.Generator.TRANSFORMS, # type: ignore +231 exp.ArraySize: rename_func("ARRAY_LENGTH"), +232 exp.AtTimeZone: lambda self, e: self.func( +233 "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone")) +234 ), +235 exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]), +236 exp.DateAdd: _date_add_sql("DATE", "ADD"), +237 exp.DateSub: _date_add_sql("DATE", "SUB"), +238 exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"), +239 exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"), +240 exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})", +241 exp.DateStrToDate: datestrtodate_sql, +242 exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")), +243 exp.GroupConcat: rename_func("STRING_AGG"), +244 exp.ILike: no_ilike_sql, +245 exp.IntDiv: rename_func("DIV"), +246 exp.Max: max_or_greatest, +247 exp.Min: min_or_least, +248 exp.Select: transforms.preprocess( +249 [_unqualify_unnest, transforms.eliminate_distinct_on] +250 ), +251 exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})", +252 exp.TimeAdd: _date_add_sql("TIME", "ADD"), +253 exp.TimeSub: _date_add_sql("TIME", "SUB"), +254 exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"), +255 exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"), +256 exp.TimeStrToTime: timestrtotime_sql, +257 exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"), +258 exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"), +259 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", +260 exp.VariancePop: rename_func("VAR_POP"), +261 exp.Values: _derived_table_values_to_unnest, +262 exp.ReturnsProperty: _returnsproperty_sql, +263 exp.Create: _create_sql, +264 exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression), +265 exp.StabilityProperty: lambda self, e: f"DETERMINISTIC" +266 if e.name == "IMMUTABLE" +267 else "NOT DETERMINISTIC", +268 exp.RegexpLike: rename_func("REGEXP_CONTAINS"), +269 } +270 +271 TYPE_MAPPING = { +272 **generator.Generator.TYPE_MAPPING, # type: ignore +273 exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC", +274 exp.DataType.Type.BIGINT: "INT64", +275 exp.DataType.Type.BINARY: "BYTES", +276 exp.DataType.Type.BOOLEAN: "BOOL", +277 exp.DataType.Type.CHAR: "STRING", +278 exp.DataType.Type.DECIMAL: "NUMERIC", +279 exp.DataType.Type.DOUBLE: "FLOAT64", +280 exp.DataType.Type.FLOAT: "FLOAT64", +281 exp.DataType.Type.INT: "INT64", +282 exp.DataType.Type.NCHAR: "STRING", +283 exp.DataType.Type.NVARCHAR: "STRING", +284 exp.DataType.Type.SMALLINT: "INT64", +285 exp.DataType.Type.TEXT: "STRING", +286 exp.DataType.Type.TIMESTAMP: "DATETIME", +287 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +288 exp.DataType.Type.TINYINT: "INT64", +289 exp.DataType.Type.VARBINARY: "BYTES", +290 exp.DataType.Type.VARCHAR: "STRING", +291 exp.DataType.Type.VARIANT: "ANY TYPE", +292 } +293 +294 PROPERTIES_LOCATION = { +295 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +296 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +297 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +298 } +299 +300 def array_sql(self, expression: exp.Array) -> str: +301 first_arg = seq_get(expression.expressions, 0) +302 if isinstance(first_arg, exp.Subqueryable): +303 return f"ARRAY{self.wrap(self.sql(first_arg))}" 304 -305 def except_op(self, expression: exp.Except) -> str: -306 if not expression.args.get("distinct", False): -307 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") -308 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +305 return inline_array_sql(self, expression) +306 +307 def transaction_sql(self, *_) -> str: +308 return "BEGIN TRANSACTION" 309 -310 def intersect_op(self, expression: exp.Intersect) -> str: -311 if not expression.args.get("distinct", False): -312 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") -313 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +310 def commit_sql(self, *_) -> str: +311 return "COMMIT TRANSACTION" +312 +313 def rollback_sql(self, *_) -> str: +314 return "ROLLBACK TRANSACTION" +315 +316 def in_unnest_op(self, expression: exp.Unnest) -> str: +317 return self.sql(expression) +318 +319 def except_op(self, expression: exp.Except) -> str: +320 if not expression.args.get("distinct", False): +321 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") +322 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +323 +324 def intersect_op(self, expression: exp.Intersect) -> str: +325 if not expression.args.get("distinct", False): +326 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") +327 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +328 +329 def with_properties(self, properties: exp.Properties) -> str: +330 return self.properties(properties, prefix=self.seg("OPTIONS"))-286 def array_sql(self, expression: exp.Array) -> str: -287 first_arg = seq_get(expression.expressions, 0) -288 if isinstance(first_arg, exp.Subqueryable): -289 return f"ARRAY{self.wrap(self.sql(first_arg))}" -290 -291 return inline_array_sql(self, expression) + @@ -1018,8 +1066,8 @@ Default: True-293 def transaction_sql(self, *_) -> str: -294 return "BEGIN TRANSACTION" + @@ -1037,8 +1085,8 @@ Default: True-296 def commit_sql(self, *_) -> str: -297 return "COMMIT TRANSACTION" + @@ -1056,8 +1104,8 @@ Default: True-299 def rollback_sql(self, *_) -> str: -300 return "ROLLBACK TRANSACTION" + @@ -1075,8 +1123,8 @@ Default: True-302 def in_unnest_op(self, expression: exp.Unnest) -> str: -303 return self.sql(expression) + @@ -1094,10 +1142,10 @@ Default: True-305 def except_op(self, expression: exp.Except) -> str: -306 if not expression.args.get("distinct", False): -307 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") -308 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" + @@ -1115,10 +1163,29 @@ Default: True+310 def intersect_op(self, expression: exp.Intersect) -> str: -311 if not expression.args.get("distinct", False): -312 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") -313 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" + + + + + ++ + + +@@ -277,11 +287,16 @@ Default: "nulls_are_small" 30 exp.DateAdd: generate_date_delta_with_unit_sql, 31 exp.DateDiff: generate_date_delta_with_unit_sql, 32 exp.JSONExtract: lambda self, e: self.binary(e, ":"), -33 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -34 } -35 TRANSFORMS.pop(exp.Select) # Remove the ELIMINATE_QUALIFY transformation -36 -37 PARAMETER_TOKEN = "$" +33 exp.Select: transforms.preprocess( +34 [ +35 transforms.eliminate_distinct_on, +36 transforms.unnest_to_explode, +37 ] +38 ), +39 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +40 } +41 +42 PARAMETER_TOKEN = "$"@@ -1179,7 +1246,6 @@ Default: True329 def with_properties(self, properties: exp.Properties) -> str: +330 return self.properties(properties, prefix=self.seg("OPTIONS"))properties_sql root_properties properties -with_properties locate_properties property_sql likeproperty_sql @@ -1247,7 +1313,7 @@ Default: Truewhere_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -1256,6 +1322,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/clickhouse.html b/docs/sqlglot/dialects/clickhouse.html index f1de27d..3d86e48 100644 --- a/docs/sqlglot/dialects/clickhouse.html +++ b/docs/sqlglot/dialects/clickhouse.html @@ -910,7 +910,7 @@ Default: Truewhere_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -919,6 +919,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/databricks.html b/docs/sqlglot/dialects/databricks.html index c6b2049..d7f8063 100644 --- a/docs/sqlglot/dialects/databricks.html +++ b/docs/sqlglot/dialects/databricks.html @@ -79,7 +79,7 @@@@ -156,17 +161,22 @@ 30 exp.DateAdd: generate_date_delta_with_unit_sql, 31 exp.DateDiff: generate_date_delta_with_unit_sql, 32 exp.JSONExtract: lambda self, e: self.binary(e, ":"), -33 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -34 } -35 TRANSFORMS.pop(exp.Select) # Remove the ELIMINATE_QUALIFY transformation -36 -37 PARAMETER_TOKEN = "$" -38 -39 class Tokenizer(Spark.Tokenizer): -40 SINGLE_TOKENS = { -41 **Spark.Tokenizer.SINGLE_TOKENS, -42 "$": TokenType.PARAMETER, -43 } +33 exp.Select: transforms.preprocess( +34 [ +35 transforms.eliminate_distinct_on, +36 transforms.unnest_to_explode, +37 ] +38 ), +39 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +40 } +41 +42 PARAMETER_TOKEN = "$" +43 +44 class Tokenizer(Spark.Tokenizer): +45 SINGLE_TOKENS = { +46 **Spark.Tokenizer.SINGLE_TOKENS, +47 "$": TokenType.PARAMETER, +48 }1from __future__ import annotations 2 - 3from sqlglot import exp + 3from sqlglot import exp, transforms 4from sqlglot.dialects.dialect import parse_date_delta 5from sqlglot.dialects.spark import Spark 6from sqlglot.dialects.tsql import generate_date_delta_with_unit_sql @@ -108,17 +108,22 @@ 29 exp.DateAdd: generate_date_delta_with_unit_sql, 30 exp.DateDiff: generate_date_delta_with_unit_sql, 31 exp.JSONExtract: lambda self, e: self.binary(e, ":"), -32 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -33 } -34 TRANSFORMS.pop(exp.Select) # Remove the ELIMINATE_QUALIFY transformation -35 -36 PARAMETER_TOKEN = "$" -37 -38 class Tokenizer(Spark.Tokenizer): -39 SINGLE_TOKENS = { -40 **Spark.Tokenizer.SINGLE_TOKENS, -41 "$": TokenType.PARAMETER, -42 } +32 exp.Select: transforms.preprocess( +33 [ +34 transforms.eliminate_distinct_on, +35 transforms.unnest_to_explode, +36 ] +37 ), +38 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +39 } +40 +41 PARAMETER_TOKEN = "$" +42 +43 class Tokenizer(Spark.Tokenizer): +44 SINGLE_TOKENS = { +45 **Spark.Tokenizer.SINGLE_TOKENS, +46 "$": TokenType.PARAMETER, +47 }where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -460,6 +475,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql @@ -557,7 +573,11 @@ Default: True@@ -945,6 +950,18 @@ +sqlglot.dialects.hive.Hive.Generator @@ -574,17 +594,17 @@ Default: Trueclass - Databricks.Tokenizer-(sqlglot.dialects.spark.Spark.Tokenizer): + Databricks.Tokenizer (sqlglot.dialects.spark2.Spark2.Tokenizer): @@ -787,14 +791,15 @@ 29 REDSHIFT = "redshift" 30 SNOWFLAKE = "snowflake" 31 SPARK = "spark" -32 SQLITE = "sqlite" -33 STARROCKS = "starrocks" -34 TABLEAU = "tableau" -35 TRINO = "trino" -36 TSQL = "tsql" -37 DATABRICKS = "databricks" -38 DRILL = "drill" -39 TERADATA = "teradata" +32 SPARK2 = "spark2" +33 SQLITE = "sqlite" +34 STARROCKS = "starrocks" +35 TABLEAU = "tableau" +36 TRINO = "trino" +37 TSQL = "tsql" +38 DATABRICKS = "databricks" +39 DRILL = "drill" +40 TERADATA = "teradata"39 class Tokenizer(Spark.Tokenizer): -40 SINGLE_TOKENS = { -41 **Spark.Tokenizer.SINGLE_TOKENS, -42 "$": TokenType.PARAMETER, -43 } +diff --git a/docs/sqlglot/dialects/dialect.html b/docs/sqlglot/dialects/dialect.html index 16d62bb..bae1758 100644 --- a/docs/sqlglot/dialects/dialect.html +++ b/docs/sqlglot/dialects/dialect.html @@ -69,6 +69,9 @@44 class Tokenizer(Spark.Tokenizer): +45 SINGLE_TOKENS = { +46 **Spark.Tokenizer.SINGLE_TOKENS, +47 "$": TokenType.PARAMETER, +48 }SPARK ++ SPARK2 + SQLITE @@ -284,480 +287,481 @@ 28 REDSHIFT = "redshift" 29 SNOWFLAKE = "snowflake" 30 SPARK = "spark" - 31 SQLITE = "sqlite" - 32 STARROCKS = "starrocks" - 33 TABLEAU = "tableau" - 34 TRINO = "trino" - 35 TSQL = "tsql" - 36 DATABRICKS = "databricks" - 37 DRILL = "drill" - 38 TERADATA = "teradata" - 39 + 31 SPARK2 = "spark2" + 32 SQLITE = "sqlite" + 33 STARROCKS = "starrocks" + 34 TABLEAU = "tableau" + 35 TRINO = "trino" + 36 TSQL = "tsql" + 37 DATABRICKS = "databricks" + 38 DRILL = "drill" + 39 TERADATA = "teradata" 40 - 41class _Dialect(type): - 42 classes: t.Dict[str, t.Type[Dialect]] = {} - 43 - 44 @classmethod - 45 def __getitem__(cls, key: str) -> t.Type[Dialect]: - 46 return cls.classes[key] - 47 - 48 @classmethod - 49 def get( - 50 cls, key: str, default: t.Optional[t.Type[Dialect]] = None - 51 ) -> t.Optional[t.Type[Dialect]]: - 52 return cls.classes.get(key, default) - 53 - 54 def __new__(cls, clsname, bases, attrs): - 55 klass = super().__new__(cls, clsname, bases, attrs) - 56 enum = Dialects.__members__.get(clsname.upper()) - 57 cls.classes[enum.value if enum is not None else clsname.lower()] = klass - 58 - 59 klass.time_trie = new_trie(klass.time_mapping) - 60 klass.inverse_time_mapping = {v: k for k, v in klass.time_mapping.items()} - 61 klass.inverse_time_trie = new_trie(klass.inverse_time_mapping) - 62 - 63 klass.tokenizer_class = getattr(klass, "Tokenizer", Tokenizer) - 64 klass.parser_class = getattr(klass, "Parser", Parser) - 65 klass.generator_class = getattr(klass, "Generator", Generator) - 66 - 67 klass.quote_start, klass.quote_end = list(klass.tokenizer_class._QUOTES.items())[0] - 68 klass.identifier_start, klass.identifier_end = list( - 69 klass.tokenizer_class._IDENTIFIERS.items() - 70 )[0] - 71 - 72 if ( - 73 klass.tokenizer_class._BIT_STRINGS - 74 and exp.BitString not in klass.generator_class.TRANSFORMS - 75 ): - 76 bs_start, bs_end = list(klass.tokenizer_class._BIT_STRINGS.items())[0] - 77 klass.generator_class.TRANSFORMS[ - 78 exp.BitString - 79 ] = lambda self, e: f"{bs_start}{int(self.sql(e, 'this')):b}{bs_end}" - 80 if ( - 81 klass.tokenizer_class._HEX_STRINGS - 82 and exp.HexString not in klass.generator_class.TRANSFORMS - 83 ): - 84 hs_start, hs_end = list(klass.tokenizer_class._HEX_STRINGS.items())[0] - 85 klass.generator_class.TRANSFORMS[ - 86 exp.HexString - 87 ] = lambda self, e: f"{hs_start}{int(self.sql(e, 'this')):X}{hs_end}" - 88 if ( - 89 klass.tokenizer_class._BYTE_STRINGS - 90 and exp.ByteString not in klass.generator_class.TRANSFORMS - 91 ): - 92 be_start, be_end = list(klass.tokenizer_class._BYTE_STRINGS.items())[0] - 93 klass.generator_class.TRANSFORMS[ - 94 exp.ByteString - 95 ] = lambda self, e: f"{be_start}{self.sql(e, 'this')}{be_end}" - 96 - 97 return klass - 98 + 41 + 42class _Dialect(type): + 43 classes: t.Dict[str, t.Type[Dialect]] = {} + 44 + 45 @classmethod + 46 def __getitem__(cls, key: str) -> t.Type[Dialect]: + 47 return cls.classes[key] + 48 + 49 @classmethod + 50 def get( + 51 cls, key: str, default: t.Optional[t.Type[Dialect]] = None + 52 ) -> t.Optional[t.Type[Dialect]]: + 53 return cls.classes.get(key, default) + 54 + 55 def __new__(cls, clsname, bases, attrs): + 56 klass = super().__new__(cls, clsname, bases, attrs) + 57 enum = Dialects.__members__.get(clsname.upper()) + 58 cls.classes[enum.value if enum is not None else clsname.lower()] = klass + 59 + 60 klass.time_trie = new_trie(klass.time_mapping) + 61 klass.inverse_time_mapping = {v: k for k, v in klass.time_mapping.items()} + 62 klass.inverse_time_trie = new_trie(klass.inverse_time_mapping) + 63 + 64 klass.tokenizer_class = getattr(klass, "Tokenizer", Tokenizer) + 65 klass.parser_class = getattr(klass, "Parser", Parser) + 66 klass.generator_class = getattr(klass, "Generator", Generator) + 67 + 68 klass.quote_start, klass.quote_end = list(klass.tokenizer_class._QUOTES.items())[0] + 69 klass.identifier_start, klass.identifier_end = list( + 70 klass.tokenizer_class._IDENTIFIERS.items() + 71 )[0] + 72 + 73 if ( + 74 klass.tokenizer_class._BIT_STRINGS + 75 and exp.BitString not in klass.generator_class.TRANSFORMS + 76 ): + 77 bs_start, bs_end = list(klass.tokenizer_class._BIT_STRINGS.items())[0] + 78 klass.generator_class.TRANSFORMS[ + 79 exp.BitString + 80 ] = lambda self, e: f"{bs_start}{int(self.sql(e, 'this')):b}{bs_end}" + 81 if ( + 82 klass.tokenizer_class._HEX_STRINGS + 83 and exp.HexString not in klass.generator_class.TRANSFORMS + 84 ): + 85 hs_start, hs_end = list(klass.tokenizer_class._HEX_STRINGS.items())[0] + 86 klass.generator_class.TRANSFORMS[ + 87 exp.HexString + 88 ] = lambda self, e: f"{hs_start}{int(self.sql(e, 'this')):X}{hs_end}" + 89 if ( + 90 klass.tokenizer_class._BYTE_STRINGS + 91 and exp.ByteString not in klass.generator_class.TRANSFORMS + 92 ): + 93 be_start, be_end = list(klass.tokenizer_class._BYTE_STRINGS.items())[0] + 94 klass.generator_class.TRANSFORMS[ + 95 exp.ByteString + 96 ] = lambda self, e: f"{be_start}{self.sql(e, 'this')}{be_end}" + 97 + 98 return klass 99 -100class Dialect(metaclass=_Dialect): -101 index_offset = 0 -102 unnest_column_only = False -103 alias_post_tablesample = False -104 normalize_functions: t.Optional[str] = "upper" -105 null_ordering = "nulls_are_small" -106 -107 date_format = "'%Y-%m-%d'" -108 dateint_format = "'%Y%m%d'" -109 time_format = "'%Y-%m-%d %H:%M:%S'" -110 time_mapping: t.Dict[str, str] = {} -111 -112 # autofilled -113 quote_start = None -114 quote_end = None -115 identifier_start = None -116 identifier_end = None -117 -118 time_trie = None -119 inverse_time_mapping = None -120 inverse_time_trie = None -121 tokenizer_class = None -122 parser_class = None -123 generator_class = None -124 -125 @classmethod -126 def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]: -127 if not dialect: -128 return cls -129 if isinstance(dialect, _Dialect): -130 return dialect -131 if isinstance(dialect, Dialect): -132 return dialect.__class__ -133 -134 result = cls.get(dialect) -135 if not result: -136 raise ValueError(f"Unknown dialect '{dialect}'") -137 -138 return result -139 -140 @classmethod -141 def format_time( -142 cls, expression: t.Optional[str | exp.Expression] -143 ) -> t.Optional[exp.Expression]: -144 if isinstance(expression, str): -145 return exp.Literal.string( -146 format_time( -147 expression[1:-1], # the time formats are quoted -148 cls.time_mapping, -149 cls.time_trie, -150 ) -151 ) -152 if expression and expression.is_string: -153 return exp.Literal.string( -154 format_time( -155 expression.this, -156 cls.time_mapping, -157 cls.time_trie, -158 ) -159 ) -160 return expression -161 -162 def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]: -163 return self.parser(**opts).parse(self.tokenize(sql), sql) -164 -165 def parse_into( -166 self, expression_type: exp.IntoType, sql: str, **opts -167 ) -> t.List[t.Optional[exp.Expression]]: -168 return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql) -169 -170 def generate(self, expression: t.Optional[exp.Expression], **opts) -> str: -171 return self.generator(**opts).generate(expression) -172 -173 def transpile(self, sql: str, **opts) -> t.List[str]: -174 return [self.generate(expression, **opts) for expression in self.parse(sql)] -175 -176 def tokenize(self, sql: str) -> t.List[Token]: -177 return self.tokenizer.tokenize(sql) -178 -179 @property -180 def tokenizer(self) -> Tokenizer: -181 if not hasattr(self, "_tokenizer"): -182 self._tokenizer = self.tokenizer_class() # type: ignore -183 return self._tokenizer -184 -185 def parser(self, **opts) -> Parser: -186 return self.parser_class( # type: ignore -187 **{ -188 "index_offset": self.index_offset, -189 "unnest_column_only": self.unnest_column_only, -190 "alias_post_tablesample": self.alias_post_tablesample, -191 "null_ordering": self.null_ordering, -192 **opts, -193 }, -194 ) -195 -196 def generator(self, **opts) -> Generator: -197 return self.generator_class( # type: ignore -198 **{ -199 "quote_start": self.quote_start, -200 "quote_end": self.quote_end, -201 "identifier_start": self.identifier_start, -202 "identifier_end": self.identifier_end, -203 "string_escape": self.tokenizer_class.STRING_ESCAPES[0], -204 "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0], -205 "index_offset": self.index_offset, -206 "time_mapping": self.inverse_time_mapping, -207 "time_trie": self.inverse_time_trie, -208 "unnest_column_only": self.unnest_column_only, -209 "alias_post_tablesample": self.alias_post_tablesample, -210 "normalize_functions": self.normalize_functions, -211 "null_ordering": self.null_ordering, -212 **opts, -213 } -214 ) -215 +100 +101class Dialect(metaclass=_Dialect): +102 index_offset = 0 +103 unnest_column_only = False +104 alias_post_tablesample = False +105 normalize_functions: t.Optional[str] = "upper" +106 null_ordering = "nulls_are_small" +107 +108 date_format = "'%Y-%m-%d'" +109 dateint_format = "'%Y%m%d'" +110 time_format = "'%Y-%m-%d %H:%M:%S'" +111 time_mapping: t.Dict[str, str] = {} +112 +113 # autofilled +114 quote_start = None +115 quote_end = None +116 identifier_start = None +117 identifier_end = None +118 +119 time_trie = None +120 inverse_time_mapping = None +121 inverse_time_trie = None +122 tokenizer_class = None +123 parser_class = None +124 generator_class = None +125 +126 @classmethod +127 def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]: +128 if not dialect: +129 return cls +130 if isinstance(dialect, _Dialect): +131 return dialect +132 if isinstance(dialect, Dialect): +133 return dialect.__class__ +134 +135 result = cls.get(dialect) +136 if not result: +137 raise ValueError(f"Unknown dialect '{dialect}'") +138 +139 return result +140 +141 @classmethod +142 def format_time( +143 cls, expression: t.Optional[str | exp.Expression] +144 ) -> t.Optional[exp.Expression]: +145 if isinstance(expression, str): +146 return exp.Literal.string( +147 format_time( +148 expression[1:-1], # the time formats are quoted +149 cls.time_mapping, +150 cls.time_trie, +151 ) +152 ) +153 if expression and expression.is_string: +154 return exp.Literal.string( +155 format_time( +156 expression.this, +157 cls.time_mapping, +158 cls.time_trie, +159 ) +160 ) +161 return expression +162 +163 def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]: +164 return self.parser(**opts).parse(self.tokenize(sql), sql) +165 +166 def parse_into( +167 self, expression_type: exp.IntoType, sql: str, **opts +168 ) -> t.List[t.Optional[exp.Expression]]: +169 return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql) +170 +171 def generate(self, expression: t.Optional[exp.Expression], **opts) -> str: +172 return self.generator(**opts).generate(expression) +173 +174 def transpile(self, sql: str, **opts) -> t.List[str]: +175 return [self.generate(expression, **opts) for expression in self.parse(sql)] +176 +177 def tokenize(self, sql: str) -> t.List[Token]: +178 return self.tokenizer.tokenize(sql) +179 +180 @property +181 def tokenizer(self) -> Tokenizer: +182 if not hasattr(self, "_tokenizer"): +183 self._tokenizer = self.tokenizer_class() # type: ignore +184 return self._tokenizer +185 +186 def parser(self, **opts) -> Parser: +187 return self.parser_class( # type: ignore +188 **{ +189 "index_offset": self.index_offset, +190 "unnest_column_only": self.unnest_column_only, +191 "alias_post_tablesample": self.alias_post_tablesample, +192 "null_ordering": self.null_ordering, +193 **opts, +194 }, +195 ) +196 +197 def generator(self, **opts) -> Generator: +198 return self.generator_class( # type: ignore +199 **{ +200 "quote_start": self.quote_start, +201 "quote_end": self.quote_end, +202 "identifier_start": self.identifier_start, +203 "identifier_end": self.identifier_end, +204 "string_escape": self.tokenizer_class.STRING_ESCAPES[0], +205 "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0], +206 "index_offset": self.index_offset, +207 "time_mapping": self.inverse_time_mapping, +208 "time_trie": self.inverse_time_trie, +209 "unnest_column_only": self.unnest_column_only, +210 "alias_post_tablesample": self.alias_post_tablesample, +211 "normalize_functions": self.normalize_functions, +212 "null_ordering": self.null_ordering, +213 **opts, +214 } +215 ) 216 -217DialectType = t.Union[str, Dialect, t.Type[Dialect], None] -218 +217 +218DialectType = t.Union[str, Dialect, t.Type[Dialect], None] 219 -220def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]: -221 return lambda self, expression: self.func(name, *flatten(expression.args.values())) -222 +220 +221def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]: +222 return lambda self, expression: self.func(name, *flatten(expression.args.values())) 223 -224def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str: -225 if expression.args.get("accuracy"): -226 self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy") -227 return self.func("APPROX_COUNT_DISTINCT", expression.this) -228 +224 +225def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str: +226 if expression.args.get("accuracy"): +227 self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy") +228 return self.func("APPROX_COUNT_DISTINCT", expression.this) 229 -230def if_sql(self: Generator, expression: exp.If) -> str: -231 return self.func( -232 "IF", expression.this, expression.args.get("true"), expression.args.get("false") -233 ) -234 +230 +231def if_sql(self: Generator, expression: exp.If) -> str: +232 return self.func( +233 "IF", expression.this, expression.args.get("true"), expression.args.get("false") +234 ) 235 -236def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str: -237 return self.binary(expression, "->") -238 +236 +237def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str: +238 return self.binary(expression, "->") 239 -240def arrow_json_extract_scalar_sql( -241 self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar -242) -> str: -243 return self.binary(expression, "->>") -244 +240 +241def arrow_json_extract_scalar_sql( +242 self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar +243) -> str: +244 return self.binary(expression, "->>") 245 -246def inline_array_sql(self: Generator, expression: exp.Array) -> str: -247 return f"[{self.expressions(expression)}]" -248 +246 +247def inline_array_sql(self: Generator, expression: exp.Array) -> str: +248 return f"[{self.expressions(expression)}]" 249 -250def no_ilike_sql(self: Generator, expression: exp.ILike) -> str: -251 return self.like_sql( -252 exp.Like( -253 this=exp.Lower(this=expression.this), -254 expression=expression.args["expression"], -255 ) -256 ) -257 +250 +251def no_ilike_sql(self: Generator, expression: exp.ILike) -> str: +252 return self.like_sql( +253 exp.Like( +254 this=exp.Lower(this=expression.this), +255 expression=expression.args["expression"], +256 ) +257 ) 258 -259def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str: -260 zone = self.sql(expression, "this") -261 return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE" -262 +259 +260def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str: +261 zone = self.sql(expression, "this") +262 return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE" 263 -264def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str: -265 if expression.args.get("recursive"): -266 self.unsupported("Recursive CTEs are unsupported") -267 expression.args["recursive"] = False -268 return self.with_sql(expression) -269 +264 +265def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str: +266 if expression.args.get("recursive"): +267 self.unsupported("Recursive CTEs are unsupported") +268 expression.args["recursive"] = False +269 return self.with_sql(expression) 270 -271def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str: -272 n = self.sql(expression, "this") -273 d = self.sql(expression, "expression") -274 return f"IF({d} <> 0, {n} / {d}, NULL)" -275 +271 +272def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str: +273 n = self.sql(expression, "this") +274 d = self.sql(expression, "expression") +275 return f"IF({d} <> 0, {n} / {d}, NULL)" 276 -277def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str: -278 self.unsupported("TABLESAMPLE unsupported") -279 return self.sql(expression.this) -280 +277 +278def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str: +279 self.unsupported("TABLESAMPLE unsupported") +280 return self.sql(expression.this) 281 -282def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str: -283 self.unsupported("PIVOT unsupported") -284 return self.sql(expression) -285 +282 +283def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str: +284 self.unsupported("PIVOT unsupported") +285 return self.sql(expression) 286 -287def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str: -288 return self.cast_sql(expression) -289 +287 +288def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str: +289 return self.cast_sql(expression) 290 -291def no_properties_sql(self: Generator, expression: exp.Properties) -> str: -292 self.unsupported("Properties unsupported") -293 return "" -294 +291 +292def no_properties_sql(self: Generator, expression: exp.Properties) -> str: +293 self.unsupported("Properties unsupported") +294 return "" 295 -296def no_comment_column_constraint_sql( -297 self: Generator, expression: exp.CommentColumnConstraint -298) -> str: -299 self.unsupported("CommentColumnConstraint unsupported") -300 return "" -301 +296 +297def no_comment_column_constraint_sql( +298 self: Generator, expression: exp.CommentColumnConstraint +299) -> str: +300 self.unsupported("CommentColumnConstraint unsupported") +301 return "" 302 -303def str_position_sql(self: Generator, expression: exp.StrPosition) -> str: -304 this = self.sql(expression, "this") -305 substr = self.sql(expression, "substr") -306 position = self.sql(expression, "position") -307 if position: -308 return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1" -309 return f"STRPOS({this}, {substr})" -310 +303 +304def str_position_sql(self: Generator, expression: exp.StrPosition) -> str: +305 this = self.sql(expression, "this") +306 substr = self.sql(expression, "substr") +307 position = self.sql(expression, "position") +308 if position: +309 return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1" +310 return f"STRPOS({this}, {substr})" 311 -312def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str: -313 this = self.sql(expression, "this") -314 struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True)) -315 return f"{this}.{struct_key}" -316 +312 +313def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str: +314 this = self.sql(expression, "this") +315 struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True)) +316 return f"{this}.{struct_key}" 317 -318def var_map_sql( -319 self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP" -320) -> str: -321 keys = expression.args["keys"] -322 values = expression.args["values"] -323 -324 if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array): -325 self.unsupported("Cannot convert array columns into map.") -326 return self.func(map_func_name, keys, values) -327 -328 args = [] -329 for key, value in zip(keys.expressions, values.expressions): -330 args.append(self.sql(key)) -331 args.append(self.sql(value)) -332 return self.func(map_func_name, *args) -333 +318 +319def var_map_sql( +320 self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP" +321) -> str: +322 keys = expression.args["keys"] +323 values = expression.args["values"] +324 +325 if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array): +326 self.unsupported("Cannot convert array columns into map.") +327 return self.func(map_func_name, keys, values) +328 +329 args = [] +330 for key, value in zip(keys.expressions, values.expressions): +331 args.append(self.sql(key)) +332 args.append(self.sql(value)) +333 return self.func(map_func_name, *args) 334 -335def format_time_lambda( -336 exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None -337) -> t.Callable[[t.Sequence], E]: -338 """Helper used for time expressions. -339 -340 Args: -341 exp_class: the expression class to instantiate. -342 dialect: target sql dialect. -343 default: the default format, True being time. -344 -345 Returns: -346 A callable that can be used to return the appropriately formatted time expression. -347 """ -348 -349 def _format_time(args: t.Sequence): -350 return exp_class( -351 this=seq_get(args, 0), -352 format=Dialect[dialect].format_time( -353 seq_get(args, 1) -354 or (Dialect[dialect].time_format if default is True else default or None) -355 ), -356 ) -357 -358 return _format_time -359 +335 +336def format_time_lambda( +337 exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None +338) -> t.Callable[[t.Sequence], E]: +339 """Helper used for time expressions. +340 +341 Args: +342 exp_class: the expression class to instantiate. +343 dialect: target sql dialect. +344 default: the default format, True being time. +345 +346 Returns: +347 A callable that can be used to return the appropriately formatted time expression. +348 """ +349 +350 def _format_time(args: t.Sequence): +351 return exp_class( +352 this=seq_get(args, 0), +353 format=Dialect[dialect].format_time( +354 seq_get(args, 1) +355 or (Dialect[dialect].time_format if default is True else default or None) +356 ), +357 ) +358 +359 return _format_time 360 -361def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str: -362 """ -363 In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the -364 PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding -365 columns are removed from the create statement. -366 """ -367 has_schema = isinstance(expression.this, exp.Schema) -368 is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW") -369 -370 if has_schema and is_partitionable: -371 expression = expression.copy() -372 prop = expression.find(exp.PartitionedByProperty) -373 if prop and prop.this and not isinstance(prop.this, exp.Schema): -374 schema = expression.this -375 columns = {v.name.upper() for v in prop.this.expressions} -376 partitions = [col for col in schema.expressions if col.name.upper() in columns] -377 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) -378 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) -379 expression.set("this", schema) -380 -381 return self.create_sql(expression) -382 +361 +362def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str: +363 """ +364 In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the +365 PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding +366 columns are removed from the create statement. +367 """ +368 has_schema = isinstance(expression.this, exp.Schema) +369 is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW") +370 +371 if has_schema and is_partitionable: +372 expression = expression.copy() +373 prop = expression.find(exp.PartitionedByProperty) +374 if prop and prop.this and not isinstance(prop.this, exp.Schema): +375 schema = expression.this +376 columns = {v.name.upper() for v in prop.this.expressions} +377 partitions = [col for col in schema.expressions if col.name.upper() in columns] +378 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) +379 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) +380 expression.set("this", schema) +381 +382 return self.create_sql(expression) 383 -384def parse_date_delta( -385 exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None -386) -> t.Callable[[t.Sequence], E]: -387 def inner_func(args: t.Sequence) -> E: -388 unit_based = len(args) == 3 -389 this = args[2] if unit_based else seq_get(args, 0) -390 unit = args[0] if unit_based else exp.Literal.string("DAY") -391 unit = unit_mapping.get(unit.name.lower(), unit) if unit_mapping else unit -392 return exp_class(this=this, expression=seq_get(args, 1), unit=unit) -393 -394 return inner_func -395 +384 +385def parse_date_delta( +386 exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None +387) -> t.Callable[[t.Sequence], E]: +388 def inner_func(args: t.Sequence) -> E: +389 unit_based = len(args) == 3 +390 this = args[2] if unit_based else seq_get(args, 0) +391 unit = args[0] if unit_based else exp.Literal.string("DAY") +392 unit = unit_mapping.get(unit.name.lower(), unit) if unit_mapping else unit +393 return exp_class(this=this, expression=seq_get(args, 1), unit=unit) +394 +395 return inner_func 396 -397def parse_date_delta_with_interval( -398 expression_class: t.Type[E], -399) -> t.Callable[[t.Sequence], t.Optional[E]]: -400 def func(args: t.Sequence) -> t.Optional[E]: -401 if len(args) < 2: -402 return None -403 -404 interval = args[1] -405 expression = interval.this -406 if expression and expression.is_string: -407 expression = exp.Literal.number(expression.this) -408 -409 return expression_class( -410 this=args[0], -411 expression=expression, -412 unit=exp.Literal.string(interval.text("unit")), -413 ) -414 -415 return func -416 +397 +398def parse_date_delta_with_interval( +399 expression_class: t.Type[E], +400) -> t.Callable[[t.Sequence], t.Optional[E]]: +401 def func(args: t.Sequence) -> t.Optional[E]: +402 if len(args) < 2: +403 return None +404 +405 interval = args[1] +406 expression = interval.this +407 if expression and expression.is_string: +408 expression = exp.Literal.number(expression.this) +409 +410 return expression_class( +411 this=args[0], +412 expression=expression, +413 unit=exp.Literal.string(interval.text("unit")), +414 ) +415 +416 return func 417 -418def date_trunc_to_time(args: t.Sequence) -> exp.DateTrunc | exp.TimestampTrunc: -419 unit = seq_get(args, 0) -420 this = seq_get(args, 1) -421 -422 if isinstance(this, exp.Cast) and this.is_type(exp.DataType.Type.DATE): -423 return exp.DateTrunc(unit=unit, this=this) -424 return exp.TimestampTrunc(this=this, unit=unit) -425 +418 +419def date_trunc_to_time(args: t.Sequence) -> exp.DateTrunc | exp.TimestampTrunc: +420 unit = seq_get(args, 0) +421 this = seq_get(args, 1) +422 +423 if isinstance(this, exp.Cast) and this.is_type(exp.DataType.Type.DATE): +424 return exp.DateTrunc(unit=unit, this=this) +425 return exp.TimestampTrunc(this=this, unit=unit) 426 -427def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str: -428 return self.func( -429 "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this -430 ) -431 +427 +428def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str: +429 return self.func( +430 "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this +431 ) 432 -433def locate_to_strposition(args: t.Sequence) -> exp.Expression: -434 return exp.StrPosition( -435 this=seq_get(args, 1), -436 substr=seq_get(args, 0), -437 position=seq_get(args, 2), -438 ) -439 +433 +434def locate_to_strposition(args: t.Sequence) -> exp.Expression: +435 return exp.StrPosition( +436 this=seq_get(args, 1), +437 substr=seq_get(args, 0), +438 position=seq_get(args, 2), +439 ) 440 -441def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str: -442 return self.func( -443 "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position") -444 ) -445 +441 +442def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str: +443 return self.func( +444 "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position") +445 ) 446 -447def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str: -448 return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)" -449 +447 +448def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str: +449 return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)" 450 -451def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str: -452 return f"CAST({self.sql(expression, 'this')} AS DATE)" -453 +451 +452def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str: +453 return f"CAST({self.sql(expression, 'this')} AS DATE)" 454 -455def min_or_least(self: Generator, expression: exp.Min) -> str: -456 name = "LEAST" if expression.expressions else "MIN" -457 return rename_func(name)(self, expression) -458 +455 +456def min_or_least(self: Generator, expression: exp.Min) -> str: +457 name = "LEAST" if expression.expressions else "MIN" +458 return rename_func(name)(self, expression) 459 -460def max_or_greatest(self: Generator, expression: exp.Max) -> str: -461 name = "GREATEST" if expression.expressions else "MAX" -462 return rename_func(name)(self, expression) -463 +460 +461def max_or_greatest(self: Generator, expression: exp.Max) -> str: +462 name = "GREATEST" if expression.expressions else "MAX" +463 return rename_func(name)(self, expression) 464 -465def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str: -466 cond = expression.this -467 -468 if isinstance(expression.this, exp.Distinct): -469 cond = expression.this.expressions[0] -470 self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM") -471 -472 return self.func("sum", exp.func("if", cond, 1, 0)) -473 +465 +466def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str: +467 cond = expression.this +468 +469 if isinstance(expression.this, exp.Distinct): +470 cond = expression.this.expressions[0] +471 self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM") +472 +473 return self.func("sum", exp.func("if", cond, 1, 0)) 474 -475def trim_sql(self: Generator, expression: exp.Trim) -> str: -476 target = self.sql(expression, "this") -477 trim_type = self.sql(expression, "position") -478 remove_chars = self.sql(expression, "expression") -479 collation = self.sql(expression, "collation") -480 -481 # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific -482 if not remove_chars and not collation: -483 return self.trim_sql(expression) -484 -485 trim_type = f"{trim_type} " if trim_type else "" -486 remove_chars = f"{remove_chars} " if remove_chars else "" -487 from_part = "FROM " if trim_type or remove_chars else "" -488 collation = f" COLLATE {collation}" if collation else "" -489 return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})" -490 +475 +476def trim_sql(self: Generator, expression: exp.Trim) -> str: +477 target = self.sql(expression, "this") +478 trim_type = self.sql(expression, "position") +479 remove_chars = self.sql(expression, "expression") +480 collation = self.sql(expression, "collation") +481 +482 # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific +483 if not remove_chars and not collation: +484 return self.trim_sql(expression) +485 +486 trim_type = f"{trim_type} " if trim_type else "" +487 remove_chars = f"{remove_chars} " if remove_chars else "" +488 from_part = "FROM " if trim_type or remove_chars else "" +489 collation = f" COLLATE {collation}" if collation else "" +490 return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})" 491 -492def str_to_time_sql(self, expression: exp.Expression) -> str: -493 return self.func("STRPTIME", expression.this, self.format_time(expression)) -494 +492 +493def str_to_time_sql(self, expression: exp.Expression) -> str: +494 return self.func("STRPTIME", expression.this, self.format_time(expression)) 495 -496def ts_or_ds_to_date_sql(dialect: str) -> t.Callable: -497 def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str: -498 _dialect = Dialect.get_or_raise(dialect) -499 time_format = self.format_time(expression) -500 if time_format and time_format not in (_dialect.time_format, _dialect.date_format): -501 return f"CAST({str_to_time_sql(self, expression)} AS DATE)" -502 return f"CAST({self.sql(expression, 'this')} AS DATE)" -503 -504 return _ts_or_ds_to_date_sql +496 +497def ts_or_ds_to_date_sql(dialect: str) -> t.Callable: +498 def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str: +499 _dialect = Dialect.get_or_raise(dialect) +500 time_format = self.format_time(expression) +501 if time_format and time_format not in (_dialect.time_format, _dialect.date_format): +502 return f"CAST({str_to_time_sql(self, expression)} AS DATE)" +503 return f"CAST({self.sql(expression, 'this')} AS DATE)" +504 +505 return _ts_or_ds_to_date_sql++ SPARK2 = +<Dialects.SPARK2: 'spark2'> + + ++ + + +@@ -546,21 +548,22 @@ Default: "nulls_are_small" 146 exp.StrPosition: str_position_sql, 147 exp.StrToDate: _str_to_date, 148 exp.Pow: rename_func("POW"), -149 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -150 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -151 exp.TimeStrToTime: timestrtotime_sql, -152 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -153 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -154 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), -155 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -156 exp.TryCast: no_trycast_sql, -157 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD(CAST({self.sql(e, 'this')} AS DATE), {self.sql(exp.Interval(this=e.expression, unit=exp.Var(this='DAY')))})", -158 exp.TsOrDsToDate: ts_or_ds_to_date_sql("drill"), -159 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", -160 } -161 -162 def normalize_func(self, name: str) -> str: -163 return name if exp.SAFE_IDENTIFIER_RE.match(name) else f"`{name}`" +149 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +150 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +151 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +152 exp.TimeStrToTime: timestrtotime_sql, +153 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +154 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +155 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), +156 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +157 exp.TryCast: no_trycast_sql, +158 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD(CAST({self.sql(e, 'this')} AS DATE), {self.sql(exp.Interval(this=e.expression, unit=exp.Var(this='DAY')))})", +159 exp.TsOrDsToDate: ts_or_ds_to_date_sql("drill"), +160 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", +161 } +162 +163 def normalize_func(self, name: str) -> str: +164 return name if exp.SAFE_IDENTIFIER_RE.match(name) else f"`{name}`"@@ -1114,121 +1131,121 @@--101class Dialect(metaclass=_Dialect): -102 index_offset = 0 -103 unnest_column_only = False -104 alias_post_tablesample = False -105 normalize_functions: t.Optional[str] = "upper" -106 null_ordering = "nulls_are_small" -107 -108 date_format = "'%Y-%m-%d'" -109 dateint_format = "'%Y%m%d'" -110 time_format = "'%Y-%m-%d %H:%M:%S'" -111 time_mapping: t.Dict[str, str] = {} -112 -113 # autofilled -114 quote_start = None -115 quote_end = None -116 identifier_start = None -117 identifier_end = None -118 -119 time_trie = None -120 inverse_time_mapping = None -121 inverse_time_trie = None -122 tokenizer_class = None -123 parser_class = None -124 generator_class = None -125 -126 @classmethod -127 def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]: -128 if not dialect: -129 return cls -130 if isinstance(dialect, _Dialect): -131 return dialect -132 if isinstance(dialect, Dialect): -133 return dialect.__class__ -134 -135 result = cls.get(dialect) -136 if not result: -137 raise ValueError(f"Unknown dialect '{dialect}'") -138 -139 return result -140 -141 @classmethod -142 def format_time( -143 cls, expression: t.Optional[str | exp.Expression] -144 ) -> t.Optional[exp.Expression]: -145 if isinstance(expression, str): -146 return exp.Literal.string( -147 format_time( -148 expression[1:-1], # the time formats are quoted -149 cls.time_mapping, -150 cls.time_trie, -151 ) -152 ) -153 if expression and expression.is_string: -154 return exp.Literal.string( -155 format_time( -156 expression.this, -157 cls.time_mapping, -158 cls.time_trie, -159 ) -160 ) -161 return expression -162 -163 def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]: -164 return self.parser(**opts).parse(self.tokenize(sql), sql) -165 -166 def parse_into( -167 self, expression_type: exp.IntoType, sql: str, **opts -168 ) -> t.List[t.Optional[exp.Expression]]: -169 return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql) -170 -171 def generate(self, expression: t.Optional[exp.Expression], **opts) -> str: -172 return self.generator(**opts).generate(expression) -173 -174 def transpile(self, sql: str, **opts) -> t.List[str]: -175 return [self.generate(expression, **opts) for expression in self.parse(sql)] -176 -177 def tokenize(self, sql: str) -> t.List[Token]: -178 return self.tokenizer.tokenize(sql) -179 -180 @property -181 def tokenizer(self) -> Tokenizer: -182 if not hasattr(self, "_tokenizer"): -183 self._tokenizer = self.tokenizer_class() # type: ignore -184 return self._tokenizer -185 -186 def parser(self, **opts) -> Parser: -187 return self.parser_class( # type: ignore -188 **{ -189 "index_offset": self.index_offset, -190 "unnest_column_only": self.unnest_column_only, -191 "alias_post_tablesample": self.alias_post_tablesample, -192 "null_ordering": self.null_ordering, -193 **opts, -194 }, -195 ) -196 -197 def generator(self, **opts) -> Generator: -198 return self.generator_class( # type: ignore -199 **{ -200 "quote_start": self.quote_start, -201 "quote_end": self.quote_end, -202 "identifier_start": self.identifier_start, -203 "identifier_end": self.identifier_end, -204 "string_escape": self.tokenizer_class.STRING_ESCAPES[0], -205 "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0], -206 "index_offset": self.index_offset, -207 "time_mapping": self.inverse_time_mapping, -208 "time_trie": self.inverse_time_trie, -209 "unnest_column_only": self.unnest_column_only, -210 "alias_post_tablesample": self.alias_post_tablesample, -211 "normalize_functions": self.normalize_functions, -212 "null_ordering": self.null_ordering, -213 **opts, -214 } -215 ) +@@ -1246,20 +1263,20 @@102class Dialect(metaclass=_Dialect): +103 index_offset = 0 +104 unnest_column_only = False +105 alias_post_tablesample = False +106 normalize_functions: t.Optional[str] = "upper" +107 null_ordering = "nulls_are_small" +108 +109 date_format = "'%Y-%m-%d'" +110 dateint_format = "'%Y%m%d'" +111 time_format = "'%Y-%m-%d %H:%M:%S'" +112 time_mapping: t.Dict[str, str] = {} +113 +114 # autofilled +115 quote_start = None +116 quote_end = None +117 identifier_start = None +118 identifier_end = None +119 +120 time_trie = None +121 inverse_time_mapping = None +122 inverse_time_trie = None +123 tokenizer_class = None +124 parser_class = None +125 generator_class = None +126 +127 @classmethod +128 def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]: +129 if not dialect: +130 return cls +131 if isinstance(dialect, _Dialect): +132 return dialect +133 if isinstance(dialect, Dialect): +134 return dialect.__class__ +135 +136 result = cls.get(dialect) +137 if not result: +138 raise ValueError(f"Unknown dialect '{dialect}'") +139 +140 return result +141 +142 @classmethod +143 def format_time( +144 cls, expression: t.Optional[str | exp.Expression] +145 ) -> t.Optional[exp.Expression]: +146 if isinstance(expression, str): +147 return exp.Literal.string( +148 format_time( +149 expression[1:-1], # the time formats are quoted +150 cls.time_mapping, +151 cls.time_trie, +152 ) +153 ) +154 if expression and expression.is_string: +155 return exp.Literal.string( +156 format_time( +157 expression.this, +158 cls.time_mapping, +159 cls.time_trie, +160 ) +161 ) +162 return expression +163 +164 def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]: +165 return self.parser(**opts).parse(self.tokenize(sql), sql) +166 +167 def parse_into( +168 self, expression_type: exp.IntoType, sql: str, **opts +169 ) -> t.List[t.Optional[exp.Expression]]: +170 return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql) +171 +172 def generate(self, expression: t.Optional[exp.Expression], **opts) -> str: +173 return self.generator(**opts).generate(expression) +174 +175 def transpile(self, sql: str, **opts) -> t.List[str]: +176 return [self.generate(expression, **opts) for expression in self.parse(sql)] +177 +178 def tokenize(self, sql: str) -> t.List[Token]: +179 return self.tokenizer.tokenize(sql) +180 +181 @property +182 def tokenizer(self) -> Tokenizer: +183 if not hasattr(self, "_tokenizer"): +184 self._tokenizer = self.tokenizer_class() # type: ignore +185 return self._tokenizer +186 +187 def parser(self, **opts) -> Parser: +188 return self.parser_class( # type: ignore +189 **{ +190 "index_offset": self.index_offset, +191 "unnest_column_only": self.unnest_column_only, +192 "alias_post_tablesample": self.alias_post_tablesample, +193 "null_ordering": self.null_ordering, +194 **opts, +195 }, +196 ) +197 +198 def generator(self, **opts) -> Generator: +199 return self.generator_class( # type: ignore +200 **{ +201 "quote_start": self.quote_start, +202 "quote_end": self.quote_end, +203 "identifier_start": self.identifier_start, +204 "identifier_end": self.identifier_end, +205 "string_escape": self.tokenizer_class.STRING_ESCAPES[0], +206 "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0], +207 "index_offset": self.index_offset, +208 "time_mapping": self.inverse_time_mapping, +209 "time_trie": self.inverse_time_trie, +210 "unnest_column_only": self.unnest_column_only, +211 "alias_post_tablesample": self.alias_post_tablesample, +212 "normalize_functions": self.normalize_functions, +213 "null_ordering": self.null_ordering, +214 **opts, +215 } +216 )-126 @classmethod -127 def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]: -128 if not dialect: -129 return cls -130 if isinstance(dialect, _Dialect): -131 return dialect -132 if isinstance(dialect, Dialect): -133 return dialect.__class__ -134 -135 result = cls.get(dialect) -136 if not result: -137 raise ValueError(f"Unknown dialect '{dialect}'") -138 -139 return result +@@ -1278,27 +1295,27 @@127 @classmethod +128 def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]: +129 if not dialect: +130 return cls +131 if isinstance(dialect, _Dialect): +132 return dialect +133 if isinstance(dialect, Dialect): +134 return dialect.__class__ +135 +136 result = cls.get(dialect) +137 if not result: +138 raise ValueError(f"Unknown dialect '{dialect}'") +139 +140 return result-141 @classmethod -142 def format_time( -143 cls, expression: t.Optional[str | exp.Expression] -144 ) -> t.Optional[exp.Expression]: -145 if isinstance(expression, str): -146 return exp.Literal.string( -147 format_time( -148 expression[1:-1], # the time formats are quoted -149 cls.time_mapping, -150 cls.time_trie, -151 ) -152 ) -153 if expression and expression.is_string: -154 return exp.Literal.string( -155 format_time( -156 expression.this, -157 cls.time_mapping, -158 cls.time_trie, -159 ) -160 ) -161 return expression +@@ -1316,8 +1333,8 @@142 @classmethod +143 def format_time( +144 cls, expression: t.Optional[str | exp.Expression] +145 ) -> t.Optional[exp.Expression]: +146 if isinstance(expression, str): +147 return exp.Literal.string( +148 format_time( +149 expression[1:-1], # the time formats are quoted +150 cls.time_mapping, +151 cls.time_trie, +152 ) +153 ) +154 if expression and expression.is_string: +155 return exp.Literal.string( +156 format_time( +157 expression.this, +158 cls.time_mapping, +159 cls.time_trie, +160 ) +161 ) +162 return expression-163 def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]: -164 return self.parser(**opts).parse(self.tokenize(sql), sql) + @@ -1335,10 +1352,10 @@-166 def parse_into( -167 self, expression_type: exp.IntoType, sql: str, **opts -168 ) -> t.List[t.Optional[exp.Expression]]: -169 return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql) + @@ -1356,8 +1373,8 @@-171 def generate(self, expression: t.Optional[exp.Expression], **opts) -> str: -172 return self.generator(**opts).generate(expression) + @@ -1375,8 +1392,8 @@-174 def transpile(self, sql: str, **opts) -> t.List[str]: -175 return [self.generate(expression, **opts) for expression in self.parse(sql)] + @@ -1394,8 +1411,8 @@-177 def tokenize(self, sql: str) -> t.List[Token]: -178 return self.tokenizer.tokenize(sql) + @@ -1413,16 +1430,16 @@-186 def parser(self, **opts) -> Parser: -187 return self.parser_class( # type: ignore -188 **{ -189 "index_offset": self.index_offset, -190 "unnest_column_only": self.unnest_column_only, -191 "alias_post_tablesample": self.alias_post_tablesample, -192 "null_ordering": self.null_ordering, -193 **opts, -194 }, -195 ) +@@ -1440,25 +1457,25 @@187 def parser(self, **opts) -> Parser: +188 return self.parser_class( # type: ignore +189 **{ +190 "index_offset": self.index_offset, +191 "unnest_column_only": self.unnest_column_only, +192 "alias_post_tablesample": self.alias_post_tablesample, +193 "null_ordering": self.null_ordering, +194 **opts, +195 }, +196 )-197 def generator(self, **opts) -> Generator: -198 return self.generator_class( # type: ignore -199 **{ -200 "quote_start": self.quote_start, -201 "quote_end": self.quote_end, -202 "identifier_start": self.identifier_start, -203 "identifier_end": self.identifier_end, -204 "string_escape": self.tokenizer_class.STRING_ESCAPES[0], -205 "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0], -206 "index_offset": self.index_offset, -207 "time_mapping": self.inverse_time_mapping, -208 "time_trie": self.inverse_time_trie, -209 "unnest_column_only": self.unnest_column_only, -210 "alias_post_tablesample": self.alias_post_tablesample, -211 "normalize_functions": self.normalize_functions, -212 "null_ordering": self.null_ordering, -213 **opts, -214 } -215 ) +@@ -1477,8 +1494,8 @@198 def generator(self, **opts) -> Generator: +199 return self.generator_class( # type: ignore +200 **{ +201 "quote_start": self.quote_start, +202 "quote_end": self.quote_end, +203 "identifier_start": self.identifier_start, +204 "identifier_end": self.identifier_end, +205 "string_escape": self.tokenizer_class.STRING_ESCAPES[0], +206 "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0], +207 "index_offset": self.index_offset, +208 "time_mapping": self.inverse_time_mapping, +209 "time_trie": self.inverse_time_trie, +210 "unnest_column_only": self.unnest_column_only, +211 "alias_post_tablesample": self.alias_post_tablesample, +212 "normalize_functions": self.normalize_functions, +213 "null_ordering": self.null_ordering, +214 **opts, +215 } +216 )-221def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]: -222 return lambda self, expression: self.func(name, *flatten(expression.args.values())) + @@ -1496,10 +1513,10 @@-225def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str: -226 if expression.args.get("accuracy"): -227 self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy") -228 return self.func("APPROX_COUNT_DISTINCT", expression.this) + @@ -1517,10 +1534,10 @@-231def if_sql(self: Generator, expression: exp.If) -> str: -232 return self.func( -233 "IF", expression.this, expression.args.get("true"), expression.args.get("false") -234 ) + @@ -1538,8 +1555,8 @@-237def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str: -238 return self.binary(expression, "->") + @@ -1557,10 +1574,10 @@-241def arrow_json_extract_scalar_sql( -242 self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar -243) -> str: -244 return self.binary(expression, "->>") + @@ -1578,8 +1595,8 @@-247def inline_array_sql(self: Generator, expression: exp.Array) -> str: -248 return f"[{self.expressions(expression)}]" + @@ -1597,13 +1614,13 @@-251def no_ilike_sql(self: Generator, expression: exp.ILike) -> str: -252 return self.like_sql( -253 exp.Like( -254 this=exp.Lower(this=expression.this), -255 expression=expression.args["expression"], -256 ) -257 ) + @@ -1621,9 +1638,9 @@-260def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str: -261 zone = self.sql(expression, "this") -262 return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE" + @@ -1641,11 +1658,11 @@-265def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str: -266 if expression.args.get("recursive"): -267 self.unsupported("Recursive CTEs are unsupported") -268 expression.args["recursive"] = False -269 return self.with_sql(expression) + @@ -1663,10 +1680,10 @@-272def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str: -273 n = self.sql(expression, "this") -274 d = self.sql(expression, "expression") -275 return f"IF({d} <> 0, {n} / {d}, NULL)" + @@ -1684,9 +1701,9 @@-278def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str: -279 self.unsupported("TABLESAMPLE unsupported") -280 return self.sql(expression.this) + @@ -1704,9 +1721,9 @@-283def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str: -284 self.unsupported("PIVOT unsupported") -285 return self.sql(expression) + @@ -1724,8 +1741,8 @@-288def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str: -289 return self.cast_sql(expression) + @@ -1743,9 +1760,9 @@-292def no_properties_sql(self: Generator, expression: exp.Properties) -> str: -293 self.unsupported("Properties unsupported") -294 return "" + @@ -1763,11 +1780,11 @@-297def no_comment_column_constraint_sql( -298 self: Generator, expression: exp.CommentColumnConstraint -299) -> str: -300 self.unsupported("CommentColumnConstraint unsupported") -301 return "" + @@ -1785,13 +1802,13 @@-304def str_position_sql(self: Generator, expression: exp.StrPosition) -> str: -305 this = self.sql(expression, "this") -306 substr = self.sql(expression, "substr") -307 position = self.sql(expression, "position") -308 if position: -309 return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1" -310 return f"STRPOS({this}, {substr})" +@@ -1809,10 +1826,10 @@305def str_position_sql(self: Generator, expression: exp.StrPosition) -> str: +306 this = self.sql(expression, "this") +307 substr = self.sql(expression, "substr") +308 position = self.sql(expression, "position") +309 if position: +310 return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1" +311 return f"STRPOS({this}, {substr})"-313def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str: -314 this = self.sql(expression, "this") -315 struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True)) -316 return f"{this}.{struct_key}" + @@ -1830,21 +1847,21 @@-319def var_map_sql( -320 self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP" -321) -> str: -322 keys = expression.args["keys"] -323 values = expression.args["values"] -324 -325 if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array): -326 self.unsupported("Cannot convert array columns into map.") -327 return self.func(map_func_name, keys, values) -328 -329 args = [] -330 for key, value in zip(keys.expressions, values.expressions): -331 args.append(self.sql(key)) -332 args.append(self.sql(value)) -333 return self.func(map_func_name, *args) +@@ -1862,30 +1879,30 @@320def var_map_sql( +321 self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP" +322) -> str: +323 keys = expression.args["keys"] +324 values = expression.args["values"] +325 +326 if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array): +327 self.unsupported("Cannot convert array columns into map.") +328 return self.func(map_func_name, keys, values) +329 +330 args = [] +331 for key, value in zip(keys.expressions, values.expressions): +332 args.append(self.sql(key)) +333 args.append(self.sql(value)) +334 return self.func(map_func_name, *args)-336def format_time_lambda( -337 exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None -338) -> t.Callable[[t.Sequence], E]: -339 """Helper used for time expressions. -340 -341 Args: -342 exp_class: the expression class to instantiate. -343 dialect: target sql dialect. -344 default: the default format, True being time. -345 -346 Returns: -347 A callable that can be used to return the appropriately formatted time expression. -348 """ -349 -350 def _format_time(args: t.Sequence): -351 return exp_class( -352 this=seq_get(args, 0), -353 format=Dialect[dialect].format_time( -354 seq_get(args, 1) -355 or (Dialect[dialect].time_format if default is True else default or None) -356 ), -357 ) -358 -359 return _format_time +@@ -1919,27 +1936,27 @@337def format_time_lambda( +338 exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None +339) -> t.Callable[[t.Sequence], E]: +340 """Helper used for time expressions. +341 +342 Args: +343 exp_class: the expression class to instantiate. +344 dialect: target sql dialect. +345 default: the default format, True being time. +346 +347 Returns: +348 A callable that can be used to return the appropriately formatted time expression. +349 """ +350 +351 def _format_time(args: t.Sequence): +352 return exp_class( +353 this=seq_get(args, 0), +354 format=Dialect[dialect].format_time( +355 seq_get(args, 1) +356 or (Dialect[dialect].time_format if default is True else default or None) +357 ), +358 ) +359 +360 return _format_time-362def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str: -363 """ -364 In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the -365 PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding -366 columns are removed from the create statement. -367 """ -368 has_schema = isinstance(expression.this, exp.Schema) -369 is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW") -370 -371 if has_schema and is_partitionable: -372 expression = expression.copy() -373 prop = expression.find(exp.PartitionedByProperty) -374 if prop and prop.this and not isinstance(prop.this, exp.Schema): -375 schema = expression.this -376 columns = {v.name.upper() for v in prop.this.expressions} -377 partitions = [col for col in schema.expressions if col.name.upper() in columns] -378 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) -379 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) -380 expression.set("this", schema) -381 -382 return self.create_sql(expression) +@@ -1961,17 +1978,17 @@ columns are removed from the create statement.363def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str: +364 """ +365 In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the +366 PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding +367 columns are removed from the create statement. +368 """ +369 has_schema = isinstance(expression.this, exp.Schema) +370 is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW") +371 +372 if has_schema and is_partitionable: +373 expression = expression.copy() +374 prop = expression.find(exp.PartitionedByProperty) +375 if prop and prop.this and not isinstance(prop.this, exp.Schema): +376 schema = expression.this +377 columns = {v.name.upper() for v in prop.this.expressions} +378 partitions = [col for col in schema.expressions if col.name.upper() in columns] +379 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) +380 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) +381 expression.set("this", schema) +382 +383 return self.create_sql(expression)-385def parse_date_delta( -386 exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None -387) -> t.Callable[[t.Sequence], E]: -388 def inner_func(args: t.Sequence) -> E: -389 unit_based = len(args) == 3 -390 this = args[2] if unit_based else seq_get(args, 0) -391 unit = args[0] if unit_based else exp.Literal.string("DAY") -392 unit = unit_mapping.get(unit.name.lower(), unit) if unit_mapping else unit -393 return exp_class(this=this, expression=seq_get(args, 1), unit=unit) -394 -395 return inner_func +@@ -1989,25 +2006,25 @@ columns are removed from the create statement.386def parse_date_delta( +387 exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None +388) -> t.Callable[[t.Sequence], E]: +389 def inner_func(args: t.Sequence) -> E: +390 unit_based = len(args) == 3 +391 this = args[2] if unit_based else seq_get(args, 0) +392 unit = args[0] if unit_based else exp.Literal.string("DAY") +393 unit = unit_mapping.get(unit.name.lower(), unit) if unit_mapping else unit +394 return exp_class(this=this, expression=seq_get(args, 1), unit=unit) +395 +396 return inner_func-398def parse_date_delta_with_interval( -399 expression_class: t.Type[E], -400) -> t.Callable[[t.Sequence], t.Optional[E]]: -401 def func(args: t.Sequence) -> t.Optional[E]: -402 if len(args) < 2: -403 return None -404 -405 interval = args[1] -406 expression = interval.this -407 if expression and expression.is_string: -408 expression = exp.Literal.number(expression.this) -409 -410 return expression_class( -411 this=args[0], -412 expression=expression, -413 unit=exp.Literal.string(interval.text("unit")), -414 ) -415 -416 return func +@@ -2025,13 +2042,13 @@ columns are removed from the create statement.399def parse_date_delta_with_interval( +400 expression_class: t.Type[E], +401) -> t.Callable[[t.Sequence], t.Optional[E]]: +402 def func(args: t.Sequence) -> t.Optional[E]: +403 if len(args) < 2: +404 return None +405 +406 interval = args[1] +407 expression = interval.this +408 if expression and expression.is_string: +409 expression = exp.Literal.number(expression.this) +410 +411 return expression_class( +412 this=args[0], +413 expression=expression, +414 unit=exp.Literal.string(interval.text("unit")), +415 ) +416 +417 return func-419def date_trunc_to_time(args: t.Sequence) -> exp.DateTrunc | exp.TimestampTrunc: -420 unit = seq_get(args, 0) -421 this = seq_get(args, 1) -422 -423 if isinstance(this, exp.Cast) and this.is_type(exp.DataType.Type.DATE): -424 return exp.DateTrunc(unit=unit, this=this) -425 return exp.TimestampTrunc(this=this, unit=unit) +@@ -2049,10 +2066,10 @@ columns are removed from the create statement.420def date_trunc_to_time(args: t.Sequence) -> exp.DateTrunc | exp.TimestampTrunc: +421 unit = seq_get(args, 0) +422 this = seq_get(args, 1) +423 +424 if isinstance(this, exp.Cast) and this.is_type(exp.DataType.Type.DATE): +425 return exp.DateTrunc(unit=unit, this=this) +426 return exp.TimestampTrunc(this=this, unit=unit)-428def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str: -429 return self.func( -430 "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this -431 ) + @@ -2070,12 +2087,12 @@ columns are removed from the create statement.-434def locate_to_strposition(args: t.Sequence) -> exp.Expression: -435 return exp.StrPosition( -436 this=seq_get(args, 1), -437 substr=seq_get(args, 0), -438 position=seq_get(args, 2), -439 ) + @@ -2093,10 +2110,10 @@ columns are removed from the create statement.-442def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str: -443 return self.func( -444 "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position") -445 ) + @@ -2114,8 +2131,8 @@ columns are removed from the create statement.-448def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str: -449 return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)" + @@ -2133,8 +2150,8 @@ columns are removed from the create statement.-452def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str: -453 return f"CAST({self.sql(expression, 'this')} AS DATE)" + @@ -2152,9 +2169,9 @@ columns are removed from the create statement.-456def min_or_least(self: Generator, expression: exp.Min) -> str: -457 name = "LEAST" if expression.expressions else "MIN" -458 return rename_func(name)(self, expression) + @@ -2172,9 +2189,9 @@ columns are removed from the create statement.-461def max_or_greatest(self: Generator, expression: exp.Max) -> str: -462 name = "GREATEST" if expression.expressions else "MAX" -463 return rename_func(name)(self, expression) + @@ -2192,14 +2209,14 @@ columns are removed from the create statement.-466def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str: -467 cond = expression.this -468 -469 if isinstance(expression.this, exp.Distinct): -470 cond = expression.this.expressions[0] -471 self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM") -472 -473 return self.func("sum", exp.func("if", cond, 1, 0)) +@@ -2217,21 +2234,21 @@ columns are removed from the create statement.467def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str: +468 cond = expression.this +469 +470 if isinstance(expression.this, exp.Distinct): +471 cond = expression.this.expressions[0] +472 self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM") +473 +474 return self.func("sum", exp.func("if", cond, 1, 0))-476def trim_sql(self: Generator, expression: exp.Trim) -> str: -477 target = self.sql(expression, "this") -478 trim_type = self.sql(expression, "position") -479 remove_chars = self.sql(expression, "expression") -480 collation = self.sql(expression, "collation") -481 -482 # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific -483 if not remove_chars and not collation: -484 return self.trim_sql(expression) -485 -486 trim_type = f"{trim_type} " if trim_type else "" -487 remove_chars = f"{remove_chars} " if remove_chars else "" -488 from_part = "FROM " if trim_type or remove_chars else "" -489 collation = f" COLLATE {collation}" if collation else "" -490 return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})" +@@ -2249,8 +2266,8 @@ columns are removed from the create statement.477def trim_sql(self: Generator, expression: exp.Trim) -> str: +478 target = self.sql(expression, "this") +479 trim_type = self.sql(expression, "position") +480 remove_chars = self.sql(expression, "expression") +481 collation = self.sql(expression, "collation") +482 +483 # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific +484 if not remove_chars and not collation: +485 return self.trim_sql(expression) +486 +487 trim_type = f"{trim_type} " if trim_type else "" +488 remove_chars = f"{remove_chars} " if remove_chars else "" +489 from_part = "FROM " if trim_type or remove_chars else "" +490 collation = f" COLLATE {collation}" if collation else "" +491 return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"-493def str_to_time_sql(self, expression: exp.Expression) -> str: -494 return self.func("STRPTIME", expression.this, self.format_time(expression)) + @@ -2268,15 +2285,15 @@ columns are removed from the create statement.@@ -356,21 +357,22 @@ 146 exp.StrPosition: str_position_sql, 147 exp.StrToDate: _str_to_date, 148 exp.Pow: rename_func("POW"), -149 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -150 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -151 exp.TimeStrToTime: timestrtotime_sql, -152 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -153 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -154 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), -155 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -156 exp.TryCast: no_trycast_sql, -157 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD(CAST({self.sql(e, 'this')} AS DATE), {self.sql(exp.Interval(this=e.expression, unit=exp.Var(this='DAY')))})", -158 exp.TsOrDsToDate: ts_or_ds_to_date_sql("drill"), -159 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", -160 } -161 -162 def normalize_func(self, name: str) -> str: -163 return name if exp.SAFE_IDENTIFIER_RE.match(name) else f"`{name}`" +149 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +150 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +151 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +152 exp.TimeStrToTime: timestrtotime_sql, +153 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +154 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +155 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), +156 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +157 exp.TryCast: no_trycast_sql, +158 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD(CAST({self.sql(e, 'this')} AS DATE), {self.sql(exp.Interval(this=e.expression, unit=exp.Var(this='DAY')))})", +159 exp.TsOrDsToDate: ts_or_ds_to_date_sql("drill"), +160 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", +161 } +162 +163 def normalize_func(self, name: str) -> str: +164 return name if exp.SAFE_IDENTIFIER_RE.match(name) else f"`{name}`"497def ts_or_ds_to_date_sql(dialect: str) -> t.Callable: -498 def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str: -499 _dialect = Dialect.get_or_raise(dialect) -500 time_format = self.format_time(expression) -501 if time_format and time_format not in (_dialect.time_format, _dialect.date_format): -502 return f"CAST({str_to_time_sql(self, expression)} AS DATE)" -503 return f"CAST({self.sql(expression, 'this')} AS DATE)" -504 -505 return _ts_or_ds_to_date_sql +diff --git a/docs/sqlglot/dialects/drill.html b/docs/sqlglot/dialects/drill.html index bd76bd7..19f0262 100644 --- a/docs/sqlglot/dialects/drill.html +++ b/docs/sqlglot/dialects/drill.html @@ -84,7 +84,7 @@ 2 3import typing as t 4 - 5from sqlglot import exp, generator, parser, tokens + 5from sqlglot import exp, generator, parser, tokens, transforms 6from sqlglot.dialects.dialect import ( 7 Dialect, 8 create_with_partitions_sql, @@ -227,21 +227,22 @@ 145 exp.StrPosition: str_position_sql, 146 exp.StrToDate: _str_to_date, 147 exp.Pow: rename_func("POW"), -148 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -149 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -150 exp.TimeStrToTime: timestrtotime_sql, -151 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -152 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -153 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), -154 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -155 exp.TryCast: no_trycast_sql, -156 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD(CAST({self.sql(e, 'this')} AS DATE), {self.sql(exp.Interval(this=e.expression, unit=exp.Var(this='DAY')))})", -157 exp.TsOrDsToDate: ts_or_ds_to_date_sql("drill"), -158 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", -159 } -160 -161 def normalize_func(self, name: str) -> str: -162 return name if exp.SAFE_IDENTIFIER_RE.match(name) else f"`{name}`" +148 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +149 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +150 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +151 exp.TimeStrToTime: timestrtotime_sql, +152 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +153 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +154 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), +155 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +156 exp.TryCast: no_trycast_sql, +157 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD(CAST({self.sql(e, 'this')} AS DATE), {self.sql(exp.Interval(this=e.expression, unit=exp.Var(this='DAY')))})", +158 exp.TsOrDsToDate: ts_or_ds_to_date_sql("drill"), +159 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", +160 } +161 +162 def normalize_func(self, name: str) -> str: +163 return name if exp.SAFE_IDENTIFIER_RE.match(name) else f"`{name}`"498def ts_or_ds_to_date_sql(dialect: str) -> t.Callable: +499 def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str: +500 _dialect = Dialect.get_or_raise(dialect) +501 time_format = self.format_time(expression) +502 if time_format and time_format not in (_dialect.time_format, _dialect.date_format): +503 return f"CAST({str_to_time_sql(self, expression)} AS DATE)" +504 return f"CAST({self.sql(expression, 'this')} AS DATE)" +505 +506 return _ts_or_ds_to_date_sql-162 def normalize_func(self, name: str) -> str: -163 return name if exp.SAFE_IDENTIFIER_RE.match(name) else f"`{name}`" +@@ -750,7 +753,7 @@ Default: True163 def normalize_func(self, name: str) -> str: +164 return name if exp.SAFE_IDENTIFIER_RE.match(name) else f"`{name}`"where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -759,6 +762,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/duckdb.html b/docs/sqlglot/dialects/duckdb.html index 87d47ec..145445d 100644 --- a/docs/sqlglot/dialects/duckdb.html +++ b/docs/sqlglot/dialects/duckdb.html @@ -82,232 +82,246 @@@@ -323,155 +337,158 @@1from __future__ import annotations 2 - 3from sqlglot import exp, generator, parser, tokens - 4from sqlglot.dialects.dialect import ( - 5 Dialect, - 6 approx_count_distinct_sql, - 7 arrow_json_extract_scalar_sql, - 8 arrow_json_extract_sql, - 9 datestrtodate_sql, - 10 format_time_lambda, - 11 no_comment_column_constraint_sql, - 12 no_pivot_sql, - 13 no_properties_sql, - 14 no_safe_divide_sql, - 15 rename_func, - 16 str_position_sql, - 17 str_to_time_sql, - 18 timestamptrunc_sql, - 19 timestrtotime_sql, - 20 ts_or_ds_to_date_sql, - 21) - 22from sqlglot.helper import seq_get - 23from sqlglot.tokens import TokenType - 24 - 25 - 26def _ts_or_ds_add(self, expression): - 27 this = self.sql(expression, "this") - 28 unit = self.sql(expression, "unit").strip("'") or "DAY" - 29 return f"CAST({this} AS DATE) + {self.sql(exp.Interval(this=expression.expression, unit=unit))}" - 30 - 31 - 32def _date_add(self, expression): - 33 this = self.sql(expression, "this") - 34 unit = self.sql(expression, "unit").strip("'") or "DAY" - 35 return f"{this} + {self.sql(exp.Interval(this=expression.expression, unit=unit))}" - 36 - 37 - 38def _array_sort_sql(self, expression): - 39 if expression.expression: - 40 self.unsupported("DUCKDB ARRAY_SORT does not support a comparator") - 41 return f"ARRAY_SORT({self.sql(expression, 'this')})" - 42 - 43 - 44def _sort_array_sql(self, expression): - 45 this = self.sql(expression, "this") - 46 if expression.args.get("asc") == exp.false(): - 47 return f"ARRAY_REVERSE_SORT({this})" - 48 return f"ARRAY_SORT({this})" - 49 - 50 - 51def _sort_array_reverse(args): - 52 return exp.SortArray(this=seq_get(args, 0), asc=exp.false()) - 53 - 54 - 55def _struct_sql(self, expression): - 56 args = [ - 57 f"'{e.name or e.this.name}': {self.sql(e, 'expression')}" for e in expression.expressions - 58 ] - 59 return f"{{{', '.join(args)}}}" - 60 - 61 - 62def _datatype_sql(self, expression): - 63 if expression.this == exp.DataType.Type.ARRAY: - 64 return f"{self.expressions(expression, flat=True)}[]" - 65 return self.datatype_sql(expression) - 66 - 67 - 68def _regexp_extract_sql(self, expression): - 69 bad_args = list(filter(expression.args.get, ("position", "occurrence"))) - 70 if bad_args: - 71 self.unsupported(f"REGEXP_EXTRACT does not support arg(s) {bad_args}") - 72 return self.func( - 73 "REGEXP_EXTRACT", - 74 expression.args.get("this"), - 75 expression.args.get("expression"), - 76 expression.args.get("group"), - 77 ) - 78 - 79 - 80class DuckDB(Dialect): - 81 class Tokenizer(tokens.Tokenizer): - 82 KEYWORDS = { - 83 **tokens.Tokenizer.KEYWORDS, - 84 "~": TokenType.RLIKE, - 85 ":=": TokenType.EQ, - 86 "ATTACH": TokenType.COMMAND, - 87 "BINARY": TokenType.VARBINARY, - 88 "BPCHAR": TokenType.TEXT, - 89 "BITSTRING": TokenType.BIT, - 90 "CHAR": TokenType.TEXT, - 91 "CHARACTER VARYING": TokenType.TEXT, - 92 "EXCLUDE": TokenType.EXCEPT, - 93 "INT1": TokenType.TINYINT, - 94 "LOGICAL": TokenType.BOOLEAN, - 95 "NUMERIC": TokenType.DOUBLE, - 96 "SIGNED": TokenType.INT, - 97 "STRING": TokenType.VARCHAR, - 98 "UBIGINT": TokenType.UBIGINT, - 99 "UINTEGER": TokenType.UINT, -100 "USMALLINT": TokenType.USMALLINT, -101 "UTINYINT": TokenType.UTINYINT, -102 } -103 -104 class Parser(parser.Parser): -105 FUNCTIONS = { -106 **parser.Parser.FUNCTIONS, # type: ignore -107 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, -108 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, -109 "ARRAY_SORT": exp.SortArray.from_arg_list, -110 "ARRAY_REVERSE_SORT": _sort_array_reverse, -111 "EPOCH": exp.TimeToUnix.from_arg_list, -112 "EPOCH_MS": lambda args: exp.UnixToTime( -113 this=exp.Div( -114 this=seq_get(args, 0), -115 expression=exp.Literal.number(1000), -116 ) -117 ), -118 "LIST_SORT": exp.SortArray.from_arg_list, -119 "LIST_REVERSE_SORT": _sort_array_reverse, -120 "LIST_VALUE": exp.Array.from_arg_list, -121 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, -122 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), -123 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), -124 "STR_SPLIT": exp.Split.from_arg_list, -125 "STRING_SPLIT": exp.Split.from_arg_list, -126 "STRING_TO_ARRAY": exp.Split.from_arg_list, -127 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -128 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -129 "STRUCT_PACK": exp.Struct.from_arg_list, -130 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, -131 "UNNEST": exp.Explode.from_arg_list, -132 } -133 -134 TYPE_TOKENS = { -135 *parser.Parser.TYPE_TOKENS, -136 TokenType.UBIGINT, -137 TokenType.UINT, -138 TokenType.USMALLINT, -139 TokenType.UTINYINT, -140 } -141 -142 class Generator(generator.Generator): -143 JOIN_HINTS = False -144 TABLE_HINTS = False -145 STRUCT_DELIMITER = ("(", ")") + 3import typing as t + 4 + 5from sqlglot import exp, generator, parser, tokens + 6from sqlglot.dialects.dialect import ( + 7 Dialect, + 8 approx_count_distinct_sql, + 9 arrow_json_extract_scalar_sql, + 10 arrow_json_extract_sql, + 11 datestrtodate_sql, + 12 format_time_lambda, + 13 no_comment_column_constraint_sql, + 14 no_pivot_sql, + 15 no_properties_sql, + 16 no_safe_divide_sql, + 17 rename_func, + 18 str_position_sql, + 19 str_to_time_sql, + 20 timestamptrunc_sql, + 21 timestrtotime_sql, + 22 ts_or_ds_to_date_sql, + 23) + 24from sqlglot.helper import seq_get + 25from sqlglot.tokens import TokenType + 26 + 27 + 28def _ts_or_ds_add_sql(self: generator.Generator, expression: exp.TsOrDsAdd) -> str: + 29 this = self.sql(expression, "this") + 30 unit = self.sql(expression, "unit").strip("'") or "DAY" + 31 return f"CAST({this} AS DATE) + {self.sql(exp.Interval(this=expression.expression, unit=unit))}" + 32 + 33 + 34def _date_add_sql(self: generator.Generator, expression: exp.DateAdd) -> str: + 35 this = self.sql(expression, "this") + 36 unit = self.sql(expression, "unit").strip("'") or "DAY" + 37 return f"{this} + {self.sql(exp.Interval(this=expression.expression, unit=unit))}" + 38 + 39 + 40def _array_sort_sql(self: generator.Generator, expression: exp.ArraySort) -> str: + 41 if expression.expression: + 42 self.unsupported("DUCKDB ARRAY_SORT does not support a comparator") + 43 return f"ARRAY_SORT({self.sql(expression, 'this')})" + 44 + 45 + 46def _sort_array_sql(self: generator.Generator, expression: exp.SortArray) -> str: + 47 this = self.sql(expression, "this") + 48 if expression.args.get("asc") == exp.false(): + 49 return f"ARRAY_REVERSE_SORT({this})" + 50 return f"ARRAY_SORT({this})" + 51 + 52 + 53def _sort_array_reverse(args: t.Sequence) -> exp.Expression: + 54 return exp.SortArray(this=seq_get(args, 0), asc=exp.false()) + 55 + 56 + 57def _parse_date_diff(args: t.Sequence) -> exp.Expression: + 58 return exp.DateDiff( + 59 this=seq_get(args, 2), + 60 expression=seq_get(args, 1), + 61 unit=seq_get(args, 0), + 62 ) + 63 + 64 + 65def _struct_sql(self: generator.Generator, expression: exp.Struct) -> str: + 66 args = [ + 67 f"'{e.name or e.this.name}': {self.sql(e, 'expression')}" for e in expression.expressions + 68 ] + 69 return f"{{{', '.join(args)}}}" + 70 + 71 + 72def _datatype_sql(self: generator.Generator, expression: exp.DataType) -> str: + 73 if expression.this == exp.DataType.Type.ARRAY: + 74 return f"{self.expressions(expression, flat=True)}[]" + 75 return self.datatype_sql(expression) + 76 + 77 + 78def _regexp_extract_sql(self: generator.Generator, expression: exp.RegexpExtract) -> str: + 79 bad_args = list(filter(expression.args.get, ("position", "occurrence"))) + 80 if bad_args: + 81 self.unsupported(f"REGEXP_EXTRACT does not support arg(s) {bad_args}") + 82 + 83 return self.func( + 84 "REGEXP_EXTRACT", + 85 expression.args.get("this"), + 86 expression.args.get("expression"), + 87 expression.args.get("group"), + 88 ) + 89 + 90 + 91class DuckDB(Dialect): + 92 class Tokenizer(tokens.Tokenizer): + 93 KEYWORDS = { + 94 **tokens.Tokenizer.KEYWORDS, + 95 "~": TokenType.RLIKE, + 96 ":=": TokenType.EQ, + 97 "ATTACH": TokenType.COMMAND, + 98 "BINARY": TokenType.VARBINARY, + 99 "BPCHAR": TokenType.TEXT, +100 "BITSTRING": TokenType.BIT, +101 "CHAR": TokenType.TEXT, +102 "CHARACTER VARYING": TokenType.TEXT, +103 "EXCLUDE": TokenType.EXCEPT, +104 "INT1": TokenType.TINYINT, +105 "LOGICAL": TokenType.BOOLEAN, +106 "NUMERIC": TokenType.DOUBLE, +107 "SIGNED": TokenType.INT, +108 "STRING": TokenType.VARCHAR, +109 "UBIGINT": TokenType.UBIGINT, +110 "UINTEGER": TokenType.UINT, +111 "USMALLINT": TokenType.USMALLINT, +112 "UTINYINT": TokenType.UTINYINT, +113 } +114 +115 class Parser(parser.Parser): +116 FUNCTIONS = { +117 **parser.Parser.FUNCTIONS, # type: ignore +118 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, +119 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, +120 "ARRAY_SORT": exp.SortArray.from_arg_list, +121 "ARRAY_REVERSE_SORT": _sort_array_reverse, +122 "DATEDIFF": _parse_date_diff, +123 "DATE_DIFF": _parse_date_diff, +124 "EPOCH": exp.TimeToUnix.from_arg_list, +125 "EPOCH_MS": lambda args: exp.UnixToTime( +126 this=exp.Div( +127 this=seq_get(args, 0), +128 expression=exp.Literal.number(1000), +129 ) +130 ), +131 "LIST_REVERSE_SORT": _sort_array_reverse, +132 "LIST_SORT": exp.SortArray.from_arg_list, +133 "LIST_VALUE": exp.Array.from_arg_list, +134 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, +135 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), +136 "STRING_SPLIT": exp.Split.from_arg_list, +137 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +138 "STRING_TO_ARRAY": exp.Split.from_arg_list, +139 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), +140 "STRUCT_PACK": exp.Struct.from_arg_list, +141 "STR_SPLIT": exp.Split.from_arg_list, +142 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +143 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, +144 "UNNEST": exp.Explode.from_arg_list, +145 } 146 -147 TRANSFORMS = { -148 **generator.Generator.TRANSFORMS, # type: ignore -149 exp.ApproxDistinct: approx_count_distinct_sql, -150 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) -151 if isinstance(seq_get(e.expressions, 0), exp.Select) -152 else rename_func("LIST_VALUE")(self, e), -153 exp.ArraySize: rename_func("ARRAY_LENGTH"), -154 exp.ArraySort: _array_sort_sql, -155 exp.ArraySum: rename_func("LIST_SUM"), -156 exp.CommentColumnConstraint: no_comment_column_constraint_sql, -157 exp.DayOfMonth: rename_func("DAYOFMONTH"), -158 exp.DayOfWeek: rename_func("DAYOFWEEK"), -159 exp.DayOfYear: rename_func("DAYOFYEAR"), -160 exp.DataType: _datatype_sql, -161 exp.DateAdd: _date_add, -162 exp.DateDiff: lambda self, e: self.func( -163 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this -164 ), -165 exp.DateStrToDate: datestrtodate_sql, -166 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", -167 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", -168 exp.Explode: rename_func("UNNEST"), -169 exp.JSONExtract: arrow_json_extract_sql, -170 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -171 exp.JSONBExtract: arrow_json_extract_sql, -172 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, -173 exp.LogicalOr: rename_func("BOOL_OR"), -174 exp.LogicalAnd: rename_func("BOOL_AND"), -175 exp.Pivot: no_pivot_sql, -176 exp.Properties: no_properties_sql, -177 exp.RegexpExtract: _regexp_extract_sql, -178 exp.RegexpLike: rename_func("REGEXP_MATCHES"), -179 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), -180 exp.SafeDivide: no_safe_divide_sql, -181 exp.Split: rename_func("STR_SPLIT"), -182 exp.SortArray: _sort_array_sql, -183 exp.StrPosition: str_position_sql, -184 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", -185 exp.StrToTime: str_to_time_sql, -186 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", -187 exp.Struct: _struct_sql, -188 exp.TimestampTrunc: timestamptrunc_sql, -189 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -190 exp.TimeStrToTime: timestrtotime_sql, -191 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", -192 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", -193 exp.TimeToUnix: rename_func("EPOCH"), -194 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", -195 exp.TsOrDsAdd: _ts_or_ds_add, -196 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), -197 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", -198 exp.UnixToTime: rename_func("TO_TIMESTAMP"), -199 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", -200 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -201 } -202 -203 TYPE_MAPPING = { -204 **generator.Generator.TYPE_MAPPING, # type: ignore -205 exp.DataType.Type.BINARY: "BLOB", -206 exp.DataType.Type.CHAR: "TEXT", -207 exp.DataType.Type.FLOAT: "REAL", -208 exp.DataType.Type.NCHAR: "TEXT", -209 exp.DataType.Type.NVARCHAR: "TEXT", -210 exp.DataType.Type.UINT: "UINTEGER", -211 exp.DataType.Type.VARBINARY: "BLOB", -212 exp.DataType.Type.VARCHAR: "TEXT", -213 } -214 -215 STAR_MAPPING = { -216 **generator.Generator.STAR_MAPPING, -217 "except": "EXCLUDE", +147 TYPE_TOKENS = { +148 *parser.Parser.TYPE_TOKENS, +149 TokenType.UBIGINT, +150 TokenType.UINT, +151 TokenType.USMALLINT, +152 TokenType.UTINYINT, +153 } +154 +155 class Generator(generator.Generator): +156 JOIN_HINTS = False +157 TABLE_HINTS = False +158 LIMIT_FETCH = "LIMIT" +159 STRUCT_DELIMITER = ("(", ")") +160 +161 TRANSFORMS = { +162 **generator.Generator.TRANSFORMS, +163 exp.ApproxDistinct: approx_count_distinct_sql, +164 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) +165 if isinstance(seq_get(e.expressions, 0), exp.Select) +166 else rename_func("LIST_VALUE")(self, e), +167 exp.ArraySize: rename_func("ARRAY_LENGTH"), +168 exp.ArraySort: _array_sort_sql, +169 exp.ArraySum: rename_func("LIST_SUM"), +170 exp.CommentColumnConstraint: no_comment_column_constraint_sql, +171 exp.CurrentDate: lambda self, e: "CURRENT_DATE", +172 exp.CurrentTime: lambda self, e: "CURRENT_TIME", +173 exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP", +174 exp.DayOfMonth: rename_func("DAYOFMONTH"), +175 exp.DayOfWeek: rename_func("DAYOFWEEK"), +176 exp.DayOfYear: rename_func("DAYOFYEAR"), +177 exp.DataType: _datatype_sql, +178 exp.DateAdd: _date_add_sql, +179 exp.DateDiff: lambda self, e: self.func( +180 "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this +181 ), +182 exp.DateStrToDate: datestrtodate_sql, +183 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", +184 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", +185 exp.Explode: rename_func("UNNEST"), +186 exp.JSONExtract: arrow_json_extract_sql, +187 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +188 exp.JSONBExtract: arrow_json_extract_sql, +189 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, +190 exp.LogicalOr: rename_func("BOOL_OR"), +191 exp.LogicalAnd: rename_func("BOOL_AND"), +192 exp.Pivot: no_pivot_sql, +193 exp.Properties: no_properties_sql, +194 exp.RegexpExtract: _regexp_extract_sql, +195 exp.RegexpLike: rename_func("REGEXP_MATCHES"), +196 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), +197 exp.SafeDivide: no_safe_divide_sql, +198 exp.Split: rename_func("STR_SPLIT"), +199 exp.SortArray: _sort_array_sql, +200 exp.StrPosition: str_position_sql, +201 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", +202 exp.StrToTime: str_to_time_sql, +203 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", +204 exp.Struct: _struct_sql, +205 exp.TimestampTrunc: timestamptrunc_sql, +206 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +207 exp.TimeStrToTime: timestrtotime_sql, +208 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", +209 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", +210 exp.TimeToUnix: rename_func("EPOCH"), +211 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", +212 exp.TsOrDsAdd: _ts_or_ds_add_sql, +213 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), +214 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", +215 exp.UnixToTime: rename_func("TO_TIMESTAMP"), +216 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", +217 exp.WeekOfYear: rename_func("WEEKOFYEAR"), 218 } 219 -220 PROPERTIES_LOCATION = { -221 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -222 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -223 } -224 -225 LIMIT_FETCH = "LIMIT" -226 -227 def tablesample_sql(self, expression: exp.TableSample, seed_prefix: str = "SEED") -> str: -228 return super().tablesample_sql(expression, seed_prefix="REPEATABLE") +220 TYPE_MAPPING = { +221 **generator.Generator.TYPE_MAPPING, +222 exp.DataType.Type.BINARY: "BLOB", +223 exp.DataType.Type.CHAR: "TEXT", +224 exp.DataType.Type.FLOAT: "REAL", +225 exp.DataType.Type.NCHAR: "TEXT", +226 exp.DataType.Type.NVARCHAR: "TEXT", +227 exp.DataType.Type.UINT: "UINTEGER", +228 exp.DataType.Type.VARBINARY: "BLOB", +229 exp.DataType.Type.VARCHAR: "TEXT", +230 } +231 +232 STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"} +233 +234 PROPERTIES_LOCATION = { +235 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +236 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +237 } +238 +239 def tablesample_sql( +240 self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS " +241 ) -> str: +242 return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)-81class DuckDB(Dialect): - 82 class Tokenizer(tokens.Tokenizer): - 83 KEYWORDS = { - 84 **tokens.Tokenizer.KEYWORDS, - 85 "~": TokenType.RLIKE, - 86 ":=": TokenType.EQ, - 87 "ATTACH": TokenType.COMMAND, - 88 "BINARY": TokenType.VARBINARY, - 89 "BPCHAR": TokenType.TEXT, - 90 "BITSTRING": TokenType.BIT, - 91 "CHAR": TokenType.TEXT, - 92 "CHARACTER VARYING": TokenType.TEXT, - 93 "EXCLUDE": TokenType.EXCEPT, - 94 "INT1": TokenType.TINYINT, - 95 "LOGICAL": TokenType.BOOLEAN, - 96 "NUMERIC": TokenType.DOUBLE, - 97 "SIGNED": TokenType.INT, - 98 "STRING": TokenType.VARCHAR, - 99 "UBIGINT": TokenType.UBIGINT, -100 "UINTEGER": TokenType.UINT, -101 "USMALLINT": TokenType.USMALLINT, -102 "UTINYINT": TokenType.UTINYINT, -103 } -104 -105 class Parser(parser.Parser): -106 FUNCTIONS = { -107 **parser.Parser.FUNCTIONS, # type: ignore -108 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, -109 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, -110 "ARRAY_SORT": exp.SortArray.from_arg_list, -111 "ARRAY_REVERSE_SORT": _sort_array_reverse, -112 "EPOCH": exp.TimeToUnix.from_arg_list, -113 "EPOCH_MS": lambda args: exp.UnixToTime( -114 this=exp.Div( -115 this=seq_get(args, 0), -116 expression=exp.Literal.number(1000), -117 ) -118 ), -119 "LIST_SORT": exp.SortArray.from_arg_list, -120 "LIST_REVERSE_SORT": _sort_array_reverse, -121 "LIST_VALUE": exp.Array.from_arg_list, -122 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, -123 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), -124 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), -125 "STR_SPLIT": exp.Split.from_arg_list, -126 "STRING_SPLIT": exp.Split.from_arg_list, -127 "STRING_TO_ARRAY": exp.Split.from_arg_list, -128 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -129 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -130 "STRUCT_PACK": exp.Struct.from_arg_list, -131 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, -132 "UNNEST": exp.Explode.from_arg_list, -133 } -134 -135 TYPE_TOKENS = { -136 *parser.Parser.TYPE_TOKENS, -137 TokenType.UBIGINT, -138 TokenType.UINT, -139 TokenType.USMALLINT, -140 TokenType.UTINYINT, -141 } -142 -143 class Generator(generator.Generator): -144 JOIN_HINTS = False -145 TABLE_HINTS = False -146 STRUCT_DELIMITER = ("(", ")") +@@ -506,28 +523,28 @@92class DuckDB(Dialect): + 93 class Tokenizer(tokens.Tokenizer): + 94 KEYWORDS = { + 95 **tokens.Tokenizer.KEYWORDS, + 96 "~": TokenType.RLIKE, + 97 ":=": TokenType.EQ, + 98 "ATTACH": TokenType.COMMAND, + 99 "BINARY": TokenType.VARBINARY, +100 "BPCHAR": TokenType.TEXT, +101 "BITSTRING": TokenType.BIT, +102 "CHAR": TokenType.TEXT, +103 "CHARACTER VARYING": TokenType.TEXT, +104 "EXCLUDE": TokenType.EXCEPT, +105 "INT1": TokenType.TINYINT, +106 "LOGICAL": TokenType.BOOLEAN, +107 "NUMERIC": TokenType.DOUBLE, +108 "SIGNED": TokenType.INT, +109 "STRING": TokenType.VARCHAR, +110 "UBIGINT": TokenType.UBIGINT, +111 "UINTEGER": TokenType.UINT, +112 "USMALLINT": TokenType.USMALLINT, +113 "UTINYINT": TokenType.UTINYINT, +114 } +115 +116 class Parser(parser.Parser): +117 FUNCTIONS = { +118 **parser.Parser.FUNCTIONS, # type: ignore +119 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, +120 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, +121 "ARRAY_SORT": exp.SortArray.from_arg_list, +122 "ARRAY_REVERSE_SORT": _sort_array_reverse, +123 "DATEDIFF": _parse_date_diff, +124 "DATE_DIFF": _parse_date_diff, +125 "EPOCH": exp.TimeToUnix.from_arg_list, +126 "EPOCH_MS": lambda args: exp.UnixToTime( +127 this=exp.Div( +128 this=seq_get(args, 0), +129 expression=exp.Literal.number(1000), +130 ) +131 ), +132 "LIST_REVERSE_SORT": _sort_array_reverse, +133 "LIST_SORT": exp.SortArray.from_arg_list, +134 "LIST_VALUE": exp.Array.from_arg_list, +135 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, +136 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), +137 "STRING_SPLIT": exp.Split.from_arg_list, +138 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +139 "STRING_TO_ARRAY": exp.Split.from_arg_list, +140 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), +141 "STRUCT_PACK": exp.Struct.from_arg_list, +142 "STR_SPLIT": exp.Split.from_arg_list, +143 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +144 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, +145 "UNNEST": exp.Explode.from_arg_list, +146 } 147 -148 TRANSFORMS = { -149 **generator.Generator.TRANSFORMS, # type: ignore -150 exp.ApproxDistinct: approx_count_distinct_sql, -151 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) -152 if isinstance(seq_get(e.expressions, 0), exp.Select) -153 else rename_func("LIST_VALUE")(self, e), -154 exp.ArraySize: rename_func("ARRAY_LENGTH"), -155 exp.ArraySort: _array_sort_sql, -156 exp.ArraySum: rename_func("LIST_SUM"), -157 exp.CommentColumnConstraint: no_comment_column_constraint_sql, -158 exp.DayOfMonth: rename_func("DAYOFMONTH"), -159 exp.DayOfWeek: rename_func("DAYOFWEEK"), -160 exp.DayOfYear: rename_func("DAYOFYEAR"), -161 exp.DataType: _datatype_sql, -162 exp.DateAdd: _date_add, -163 exp.DateDiff: lambda self, e: self.func( -164 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this -165 ), -166 exp.DateStrToDate: datestrtodate_sql, -167 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", -168 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", -169 exp.Explode: rename_func("UNNEST"), -170 exp.JSONExtract: arrow_json_extract_sql, -171 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -172 exp.JSONBExtract: arrow_json_extract_sql, -173 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, -174 exp.LogicalOr: rename_func("BOOL_OR"), -175 exp.LogicalAnd: rename_func("BOOL_AND"), -176 exp.Pivot: no_pivot_sql, -177 exp.Properties: no_properties_sql, -178 exp.RegexpExtract: _regexp_extract_sql, -179 exp.RegexpLike: rename_func("REGEXP_MATCHES"), -180 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), -181 exp.SafeDivide: no_safe_divide_sql, -182 exp.Split: rename_func("STR_SPLIT"), -183 exp.SortArray: _sort_array_sql, -184 exp.StrPosition: str_position_sql, -185 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", -186 exp.StrToTime: str_to_time_sql, -187 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", -188 exp.Struct: _struct_sql, -189 exp.TimestampTrunc: timestamptrunc_sql, -190 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -191 exp.TimeStrToTime: timestrtotime_sql, -192 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", -193 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", -194 exp.TimeToUnix: rename_func("EPOCH"), -195 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", -196 exp.TsOrDsAdd: _ts_or_ds_add, -197 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), -198 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", -199 exp.UnixToTime: rename_func("TO_TIMESTAMP"), -200 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", -201 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -202 } -203 -204 TYPE_MAPPING = { -205 **generator.Generator.TYPE_MAPPING, # type: ignore -206 exp.DataType.Type.BINARY: "BLOB", -207 exp.DataType.Type.CHAR: "TEXT", -208 exp.DataType.Type.FLOAT: "REAL", -209 exp.DataType.Type.NCHAR: "TEXT", -210 exp.DataType.Type.NVARCHAR: "TEXT", -211 exp.DataType.Type.UINT: "UINTEGER", -212 exp.DataType.Type.VARBINARY: "BLOB", -213 exp.DataType.Type.VARCHAR: "TEXT", -214 } -215 -216 STAR_MAPPING = { -217 **generator.Generator.STAR_MAPPING, -218 "except": "EXCLUDE", +148 TYPE_TOKENS = { +149 *parser.Parser.TYPE_TOKENS, +150 TokenType.UBIGINT, +151 TokenType.UINT, +152 TokenType.USMALLINT, +153 TokenType.UTINYINT, +154 } +155 +156 class Generator(generator.Generator): +157 JOIN_HINTS = False +158 TABLE_HINTS = False +159 LIMIT_FETCH = "LIMIT" +160 STRUCT_DELIMITER = ("(", ")") +161 +162 TRANSFORMS = { +163 **generator.Generator.TRANSFORMS, +164 exp.ApproxDistinct: approx_count_distinct_sql, +165 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) +166 if isinstance(seq_get(e.expressions, 0), exp.Select) +167 else rename_func("LIST_VALUE")(self, e), +168 exp.ArraySize: rename_func("ARRAY_LENGTH"), +169 exp.ArraySort: _array_sort_sql, +170 exp.ArraySum: rename_func("LIST_SUM"), +171 exp.CommentColumnConstraint: no_comment_column_constraint_sql, +172 exp.CurrentDate: lambda self, e: "CURRENT_DATE", +173 exp.CurrentTime: lambda self, e: "CURRENT_TIME", +174 exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP", +175 exp.DayOfMonth: rename_func("DAYOFMONTH"), +176 exp.DayOfWeek: rename_func("DAYOFWEEK"), +177 exp.DayOfYear: rename_func("DAYOFYEAR"), +178 exp.DataType: _datatype_sql, +179 exp.DateAdd: _date_add_sql, +180 exp.DateDiff: lambda self, e: self.func( +181 "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this +182 ), +183 exp.DateStrToDate: datestrtodate_sql, +184 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", +185 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", +186 exp.Explode: rename_func("UNNEST"), +187 exp.JSONExtract: arrow_json_extract_sql, +188 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +189 exp.JSONBExtract: arrow_json_extract_sql, +190 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, +191 exp.LogicalOr: rename_func("BOOL_OR"), +192 exp.LogicalAnd: rename_func("BOOL_AND"), +193 exp.Pivot: no_pivot_sql, +194 exp.Properties: no_properties_sql, +195 exp.RegexpExtract: _regexp_extract_sql, +196 exp.RegexpLike: rename_func("REGEXP_MATCHES"), +197 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), +198 exp.SafeDivide: no_safe_divide_sql, +199 exp.Split: rename_func("STR_SPLIT"), +200 exp.SortArray: _sort_array_sql, +201 exp.StrPosition: str_position_sql, +202 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", +203 exp.StrToTime: str_to_time_sql, +204 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", +205 exp.Struct: _struct_sql, +206 exp.TimestampTrunc: timestamptrunc_sql, +207 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +208 exp.TimeStrToTime: timestrtotime_sql, +209 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", +210 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", +211 exp.TimeToUnix: rename_func("EPOCH"), +212 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", +213 exp.TsOrDsAdd: _ts_or_ds_add_sql, +214 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), +215 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", +216 exp.UnixToTime: rename_func("TO_TIMESTAMP"), +217 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", +218 exp.WeekOfYear: rename_func("WEEKOFYEAR"), 219 } 220 -221 PROPERTIES_LOCATION = { -222 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -223 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -224 } -225 -226 LIMIT_FETCH = "LIMIT" -227 -228 def tablesample_sql(self, expression: exp.TableSample, seed_prefix: str = "SEED") -> str: -229 return super().tablesample_sql(expression, seed_prefix="REPEATABLE") +221 TYPE_MAPPING = { +222 **generator.Generator.TYPE_MAPPING, +223 exp.DataType.Type.BINARY: "BLOB", +224 exp.DataType.Type.CHAR: "TEXT", +225 exp.DataType.Type.FLOAT: "REAL", +226 exp.DataType.Type.NCHAR: "TEXT", +227 exp.DataType.Type.NVARCHAR: "TEXT", +228 exp.DataType.Type.UINT: "UINTEGER", +229 exp.DataType.Type.VARBINARY: "BLOB", +230 exp.DataType.Type.VARCHAR: "TEXT", +231 } +232 +233 STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"} +234 +235 PROPERTIES_LOCATION = { +236 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +237 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +238 } +239 +240 def tablesample_sql( +241 self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS " +242 ) -> str: +243 return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)-82 class Tokenizer(tokens.Tokenizer): - 83 KEYWORDS = { - 84 **tokens.Tokenizer.KEYWORDS, - 85 "~": TokenType.RLIKE, - 86 ":=": TokenType.EQ, - 87 "ATTACH": TokenType.COMMAND, - 88 "BINARY": TokenType.VARBINARY, - 89 "BPCHAR": TokenType.TEXT, - 90 "BITSTRING": TokenType.BIT, - 91 "CHAR": TokenType.TEXT, - 92 "CHARACTER VARYING": TokenType.TEXT, - 93 "EXCLUDE": TokenType.EXCEPT, - 94 "INT1": TokenType.TINYINT, - 95 "LOGICAL": TokenType.BOOLEAN, - 96 "NUMERIC": TokenType.DOUBLE, - 97 "SIGNED": TokenType.INT, - 98 "STRING": TokenType.VARCHAR, - 99 "UBIGINT": TokenType.UBIGINT, -100 "UINTEGER": TokenType.UINT, -101 "USMALLINT": TokenType.USMALLINT, -102 "UTINYINT": TokenType.UTINYINT, -103 } +@@ -555,43 +572,45 @@93 class Tokenizer(tokens.Tokenizer): + 94 KEYWORDS = { + 95 **tokens.Tokenizer.KEYWORDS, + 96 "~": TokenType.RLIKE, + 97 ":=": TokenType.EQ, + 98 "ATTACH": TokenType.COMMAND, + 99 "BINARY": TokenType.VARBINARY, +100 "BPCHAR": TokenType.TEXT, +101 "BITSTRING": TokenType.BIT, +102 "CHAR": TokenType.TEXT, +103 "CHARACTER VARYING": TokenType.TEXT, +104 "EXCLUDE": TokenType.EXCEPT, +105 "INT1": TokenType.TINYINT, +106 "LOGICAL": TokenType.BOOLEAN, +107 "NUMERIC": TokenType.DOUBLE, +108 "SIGNED": TokenType.INT, +109 "STRING": TokenType.VARCHAR, +110 "UBIGINT": TokenType.UBIGINT, +111 "UINTEGER": TokenType.UINT, +112 "USMALLINT": TokenType.USMALLINT, +113 "UTINYINT": TokenType.UTINYINT, +114 }-105 class Parser(parser.Parser): -106 FUNCTIONS = { -107 **parser.Parser.FUNCTIONS, # type: ignore -108 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, -109 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, -110 "ARRAY_SORT": exp.SortArray.from_arg_list, -111 "ARRAY_REVERSE_SORT": _sort_array_reverse, -112 "EPOCH": exp.TimeToUnix.from_arg_list, -113 "EPOCH_MS": lambda args: exp.UnixToTime( -114 this=exp.Div( -115 this=seq_get(args, 0), -116 expression=exp.Literal.number(1000), -117 ) -118 ), -119 "LIST_SORT": exp.SortArray.from_arg_list, -120 "LIST_REVERSE_SORT": _sort_array_reverse, -121 "LIST_VALUE": exp.Array.from_arg_list, -122 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, -123 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), -124 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), -125 "STR_SPLIT": exp.Split.from_arg_list, -126 "STRING_SPLIT": exp.Split.from_arg_list, -127 "STRING_TO_ARRAY": exp.Split.from_arg_list, -128 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -129 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -130 "STRUCT_PACK": exp.Struct.from_arg_list, -131 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, -132 "UNNEST": exp.Explode.from_arg_list, -133 } -134 -135 TYPE_TOKENS = { -136 *parser.Parser.TYPE_TOKENS, -137 TokenType.UBIGINT, -138 TokenType.UINT, -139 TokenType.USMALLINT, -140 TokenType.UTINYINT, -141 } +@@ -648,93 +667,94 @@ Default: "nulls_are_small"116 class Parser(parser.Parser): +117 FUNCTIONS = { +118 **parser.Parser.FUNCTIONS, # type: ignore +119 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, +120 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, +121 "ARRAY_SORT": exp.SortArray.from_arg_list, +122 "ARRAY_REVERSE_SORT": _sort_array_reverse, +123 "DATEDIFF": _parse_date_diff, +124 "DATE_DIFF": _parse_date_diff, +125 "EPOCH": exp.TimeToUnix.from_arg_list, +126 "EPOCH_MS": lambda args: exp.UnixToTime( +127 this=exp.Div( +128 this=seq_get(args, 0), +129 expression=exp.Literal.number(1000), +130 ) +131 ), +132 "LIST_REVERSE_SORT": _sort_array_reverse, +133 "LIST_SORT": exp.SortArray.from_arg_list, +134 "LIST_VALUE": exp.Array.from_arg_list, +135 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, +136 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), +137 "STRING_SPLIT": exp.Split.from_arg_list, +138 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +139 "STRING_TO_ARRAY": exp.Split.from_arg_list, +140 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), +141 "STRUCT_PACK": exp.Struct.from_arg_list, +142 "STR_SPLIT": exp.Split.from_arg_list, +143 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +144 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, +145 "UNNEST": exp.Explode.from_arg_list, +146 } +147 +148 TYPE_TOKENS = { +149 *parser.Parser.TYPE_TOKENS, +150 TokenType.UBIGINT, +151 TokenType.UINT, +152 TokenType.USMALLINT, +153 TokenType.UTINYINT, +154 }-143 class Generator(generator.Generator): -144 JOIN_HINTS = False -145 TABLE_HINTS = False -146 STRUCT_DELIMITER = ("(", ")") -147 -148 TRANSFORMS = { -149 **generator.Generator.TRANSFORMS, # type: ignore -150 exp.ApproxDistinct: approx_count_distinct_sql, -151 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) -152 if isinstance(seq_get(e.expressions, 0), exp.Select) -153 else rename_func("LIST_VALUE")(self, e), -154 exp.ArraySize: rename_func("ARRAY_LENGTH"), -155 exp.ArraySort: _array_sort_sql, -156 exp.ArraySum: rename_func("LIST_SUM"), -157 exp.CommentColumnConstraint: no_comment_column_constraint_sql, -158 exp.DayOfMonth: rename_func("DAYOFMONTH"), -159 exp.DayOfWeek: rename_func("DAYOFWEEK"), -160 exp.DayOfYear: rename_func("DAYOFYEAR"), -161 exp.DataType: _datatype_sql, -162 exp.DateAdd: _date_add, -163 exp.DateDiff: lambda self, e: self.func( -164 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this -165 ), -166 exp.DateStrToDate: datestrtodate_sql, -167 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", -168 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", -169 exp.Explode: rename_func("UNNEST"), -170 exp.JSONExtract: arrow_json_extract_sql, -171 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -172 exp.JSONBExtract: arrow_json_extract_sql, -173 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, -174 exp.LogicalOr: rename_func("BOOL_OR"), -175 exp.LogicalAnd: rename_func("BOOL_AND"), -176 exp.Pivot: no_pivot_sql, -177 exp.Properties: no_properties_sql, -178 exp.RegexpExtract: _regexp_extract_sql, -179 exp.RegexpLike: rename_func("REGEXP_MATCHES"), -180 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), -181 exp.SafeDivide: no_safe_divide_sql, -182 exp.Split: rename_func("STR_SPLIT"), -183 exp.SortArray: _sort_array_sql, -184 exp.StrPosition: str_position_sql, -185 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", -186 exp.StrToTime: str_to_time_sql, -187 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", -188 exp.Struct: _struct_sql, -189 exp.TimestampTrunc: timestamptrunc_sql, -190 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -191 exp.TimeStrToTime: timestrtotime_sql, -192 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", -193 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", -194 exp.TimeToUnix: rename_func("EPOCH"), -195 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", -196 exp.TsOrDsAdd: _ts_or_ds_add, -197 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), -198 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", -199 exp.UnixToTime: rename_func("TO_TIMESTAMP"), -200 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", -201 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -202 } -203 -204 TYPE_MAPPING = { -205 **generator.Generator.TYPE_MAPPING, # type: ignore -206 exp.DataType.Type.BINARY: "BLOB", -207 exp.DataType.Type.CHAR: "TEXT", -208 exp.DataType.Type.FLOAT: "REAL", -209 exp.DataType.Type.NCHAR: "TEXT", -210 exp.DataType.Type.NVARCHAR: "TEXT", -211 exp.DataType.Type.UINT: "UINTEGER", -212 exp.DataType.Type.VARBINARY: "BLOB", -213 exp.DataType.Type.VARCHAR: "TEXT", -214 } -215 -216 STAR_MAPPING = { -217 **generator.Generator.STAR_MAPPING, -218 "except": "EXCLUDE", +@@ -787,14 +807,16 @@ Default: True156 class Generator(generator.Generator): +157 JOIN_HINTS = False +158 TABLE_HINTS = False +159 LIMIT_FETCH = "LIMIT" +160 STRUCT_DELIMITER = ("(", ")") +161 +162 TRANSFORMS = { +163 **generator.Generator.TRANSFORMS, +164 exp.ApproxDistinct: approx_count_distinct_sql, +165 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) +166 if isinstance(seq_get(e.expressions, 0), exp.Select) +167 else rename_func("LIST_VALUE")(self, e), +168 exp.ArraySize: rename_func("ARRAY_LENGTH"), +169 exp.ArraySort: _array_sort_sql, +170 exp.ArraySum: rename_func("LIST_SUM"), +171 exp.CommentColumnConstraint: no_comment_column_constraint_sql, +172 exp.CurrentDate: lambda self, e: "CURRENT_DATE", +173 exp.CurrentTime: lambda self, e: "CURRENT_TIME", +174 exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP", +175 exp.DayOfMonth: rename_func("DAYOFMONTH"), +176 exp.DayOfWeek: rename_func("DAYOFWEEK"), +177 exp.DayOfYear: rename_func("DAYOFYEAR"), +178 exp.DataType: _datatype_sql, +179 exp.DateAdd: _date_add_sql, +180 exp.DateDiff: lambda self, e: self.func( +181 "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this +182 ), +183 exp.DateStrToDate: datestrtodate_sql, +184 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", +185 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", +186 exp.Explode: rename_func("UNNEST"), +187 exp.JSONExtract: arrow_json_extract_sql, +188 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +189 exp.JSONBExtract: arrow_json_extract_sql, +190 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, +191 exp.LogicalOr: rename_func("BOOL_OR"), +192 exp.LogicalAnd: rename_func("BOOL_AND"), +193 exp.Pivot: no_pivot_sql, +194 exp.Properties: no_properties_sql, +195 exp.RegexpExtract: _regexp_extract_sql, +196 exp.RegexpLike: rename_func("REGEXP_MATCHES"), +197 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), +198 exp.SafeDivide: no_safe_divide_sql, +199 exp.Split: rename_func("STR_SPLIT"), +200 exp.SortArray: _sort_array_sql, +201 exp.StrPosition: str_position_sql, +202 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", +203 exp.StrToTime: str_to_time_sql, +204 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", +205 exp.Struct: _struct_sql, +206 exp.TimestampTrunc: timestamptrunc_sql, +207 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +208 exp.TimeStrToTime: timestrtotime_sql, +209 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", +210 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", +211 exp.TimeToUnix: rename_func("EPOCH"), +212 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", +213 exp.TsOrDsAdd: _ts_or_ds_add_sql, +214 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), +215 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", +216 exp.UnixToTime: rename_func("TO_TIMESTAMP"), +217 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", +218 exp.WeekOfYear: rename_func("WEEKOFYEAR"), 219 } 220 -221 PROPERTIES_LOCATION = { -222 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -223 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -224 } -225 -226 LIMIT_FETCH = "LIMIT" -227 -228 def tablesample_sql(self, expression: exp.TableSample, seed_prefix: str = "SEED") -> str: -229 return super().tablesample_sql(expression, seed_prefix="REPEATABLE") +221 TYPE_MAPPING = { +222 **generator.Generator.TYPE_MAPPING, +223 exp.DataType.Type.BINARY: "BLOB", +224 exp.DataType.Type.CHAR: "TEXT", +225 exp.DataType.Type.FLOAT: "REAL", +226 exp.DataType.Type.NCHAR: "TEXT", +227 exp.DataType.Type.NVARCHAR: "TEXT", +228 exp.DataType.Type.UINT: "UINTEGER", +229 exp.DataType.Type.VARBINARY: "BLOB", +230 exp.DataType.Type.VARCHAR: "TEXT", +231 } +232 +233 STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"} +234 +235 PROPERTIES_LOCATION = { +236 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +237 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +238 } +239 +240 def tablesample_sql( +241 self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS " +242 ) -> str: +243 return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)def - tablesample_sql( self, expression: sqlglot.expressions.TableSample, seed_prefix: str = 'SEED') -> str: + tablesample_sql( self, expression: sqlglot.expressions.TableSample, seed_prefix: str = 'SEED', sep=' AS ') -> str:-@@ -478,240 +494,243 @@228 def tablesample_sql(self, expression: exp.TableSample, seed_prefix: str = "SEED") -> str: -229 return super().tablesample_sql(expression, seed_prefix="REPEATABLE") +@@ -924,7 +946,7 @@ Default: True240 def tablesample_sql( +241 self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS " +242 ) -> str: +243 return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -933,6 +955,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/hive.html b/docs/sqlglot/dialects/hive.html index b477f0e..5266bd3 100644 --- a/docs/sqlglot/dialects/hive.html +++ b/docs/sqlglot/dialects/hive.html @@ -169,300 +169,316 @@ 81 return f"{diff_sql}{multiplier_sql}" 82 83 - 84def _array_sort(self: generator.Generator, expression: exp.ArraySort) -> str: - 85 if expression.expression: - 86 self.unsupported("Hive SORT_ARRAY does not support a comparator") - 87 return f"SORT_ARRAY({self.sql(expression, 'this')})" - 88 + 84def _json_format_sql(self: generator.Generator, expression: exp.JSONFormat) -> str: + 85 this = expression.this + 86 + 87 if not this.type: + 88 from sqlglot.optimizer.annotate_types import annotate_types 89 - 90def _property_sql(self: generator.Generator, expression: exp.Property) -> str: - 91 return f"'{expression.name}'={self.sql(expression, 'value')}" - 92 - 93 - 94def _str_to_unix(self: generator.Generator, expression: exp.StrToUnix) -> str: - 95 return self.func("UNIX_TIMESTAMP", expression.this, _time_format(self, expression)) + 90 annotate_types(this) + 91 + 92 if this.type.is_type(exp.DataType.Type.JSON): + 93 return self.sql(this) + 94 return self.func("TO_JSON", this, expression.args.get("options")) + 95 96 - 97 - 98def _str_to_date(self: generator.Generator, expression: exp.StrToDate) -> str: - 99 this = self.sql(expression, "this") -100 time_format = self.format_time(expression) -101 if time_format not in (Hive.time_format, Hive.date_format): -102 this = f"FROM_UNIXTIME(UNIX_TIMESTAMP({this}, {time_format}))" -103 return f"CAST({this} AS DATE)" -104 + 97def _array_sort_sql(self: generator.Generator, expression: exp.ArraySort) -> str: + 98 if expression.expression: + 99 self.unsupported("Hive SORT_ARRAY does not support a comparator") +100 return f"SORT_ARRAY({self.sql(expression, 'this')})" +101 +102 +103def _property_sql(self: generator.Generator, expression: exp.Property) -> str: +104 return f"'{expression.name}'={self.sql(expression, 'value')}" 105 -106def _str_to_time(self: generator.Generator, expression: exp.StrToTime) -> str: -107 this = self.sql(expression, "this") -108 time_format = self.format_time(expression) -109 if time_format not in (Hive.time_format, Hive.date_format): -110 this = f"FROM_UNIXTIME(UNIX_TIMESTAMP({this}, {time_format}))" -111 return f"CAST({this} AS TIMESTAMP)" -112 -113 -114def _time_format( -115 self: generator.Generator, expression: exp.UnixToStr | exp.StrToUnix -116) -> t.Optional[str]: -117 time_format = self.format_time(expression) -118 if time_format == Hive.time_format: -119 return None -120 return time_format -121 -122 -123def _time_to_str(self: generator.Generator, expression: exp.TimeToStr) -> str: -124 this = self.sql(expression, "this") -125 time_format = self.format_time(expression) -126 return f"DATE_FORMAT({this}, {time_format})" -127 -128 -129def _to_date_sql(self: generator.Generator, expression: exp.TsOrDsToDate) -> str: -130 this = self.sql(expression, "this") -131 time_format = self.format_time(expression) -132 if time_format and time_format not in (Hive.time_format, Hive.date_format): -133 return f"TO_DATE({this}, {time_format})" -134 return f"TO_DATE({this})" +106 +107def _str_to_unix_sql(self: generator.Generator, expression: exp.StrToUnix) -> str: +108 return self.func("UNIX_TIMESTAMP", expression.this, _time_format(self, expression)) +109 +110 +111def _str_to_date_sql(self: generator.Generator, expression: exp.StrToDate) -> str: +112 this = self.sql(expression, "this") +113 time_format = self.format_time(expression) +114 if time_format not in (Hive.time_format, Hive.date_format): +115 this = f"FROM_UNIXTIME(UNIX_TIMESTAMP({this}, {time_format}))" +116 return f"CAST({this} AS DATE)" +117 +118 +119def _str_to_time_sql(self: generator.Generator, expression: exp.StrToTime) -> str: +120 this = self.sql(expression, "this") +121 time_format = self.format_time(expression) +122 if time_format not in (Hive.time_format, Hive.date_format): +123 this = f"FROM_UNIXTIME(UNIX_TIMESTAMP({this}, {time_format}))" +124 return f"CAST({this} AS TIMESTAMP)" +125 +126 +127def _time_format( +128 self: generator.Generator, expression: exp.UnixToStr | exp.StrToUnix +129) -> t.Optional[str]: +130 time_format = self.format_time(expression) +131 if time_format == Hive.time_format: +132 return None +133 return time_format +134 135 -136 -137def _index_sql(self: generator.Generator, expression: exp.Index) -> str: -138 this = self.sql(expression, "this") -139 table = self.sql(expression, "table") -140 columns = self.sql(expression, "columns") -141 return f"{this} ON TABLE {table} {columns}" -142 -143 -144class Hive(Dialect): -145 alias_post_tablesample = True -146 -147 time_mapping = { -148 "y": "%Y", -149 "Y": "%Y", -150 "YYYY": "%Y", -151 "yyyy": "%Y", -152 "YY": "%y", -153 "yy": "%y", -154 "MMMM": "%B", -155 "MMM": "%b", -156 "MM": "%m", -157 "M": "%-m", -158 "dd": "%d", -159 "d": "%-d", -160 "HH": "%H", -161 "H": "%-H", -162 "hh": "%I", -163 "h": "%-I", -164 "mm": "%M", -165 "m": "%-M", -166 "ss": "%S", -167 "s": "%-S", -168 "SSSSSS": "%f", -169 "a": "%p", -170 "DD": "%j", -171 "D": "%-j", -172 "E": "%a", -173 "EE": "%a", -174 "EEE": "%a", -175 "EEEE": "%A", -176 } -177 -178 date_format = "'yyyy-MM-dd'" -179 dateint_format = "'yyyyMMdd'" -180 time_format = "'yyyy-MM-dd HH:mm:ss'" -181 -182 class Tokenizer(tokens.Tokenizer): -183 QUOTES = ["'", '"'] -184 IDENTIFIERS = ["`"] -185 STRING_ESCAPES = ["\\"] -186 ENCODE = "utf-8" -187 IDENTIFIER_CAN_START_WITH_DIGIT = True -188 -189 KEYWORDS = { -190 **tokens.Tokenizer.KEYWORDS, -191 "ADD ARCHIVE": TokenType.COMMAND, -192 "ADD ARCHIVES": TokenType.COMMAND, -193 "ADD FILE": TokenType.COMMAND, -194 "ADD FILES": TokenType.COMMAND, -195 "ADD JAR": TokenType.COMMAND, -196 "ADD JARS": TokenType.COMMAND, -197 "MSCK REPAIR": TokenType.COMMAND, -198 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, -199 } -200 -201 NUMERIC_LITERALS = { -202 "L": "BIGINT", -203 "S": "SMALLINT", -204 "Y": "TINYINT", -205 "D": "DOUBLE", -206 "F": "FLOAT", -207 "BD": "DECIMAL", -208 } -209 -210 class Parser(parser.Parser): -211 LOG_DEFAULTS_TO_LN = True -212 STRICT_CAST = False +136def _time_to_str(self: generator.Generator, expression: exp.TimeToStr) -> str: +137 this = self.sql(expression, "this") +138 time_format = self.format_time(expression) +139 return f"DATE_FORMAT({this}, {time_format})" +140 +141 +142def _to_date_sql(self: generator.Generator, expression: exp.TsOrDsToDate) -> str: +143 this = self.sql(expression, "this") +144 time_format = self.format_time(expression) +145 if time_format and time_format not in (Hive.time_format, Hive.date_format): +146 return f"TO_DATE({this}, {time_format})" +147 return f"TO_DATE({this})" +148 +149 +150def _index_sql(self: generator.Generator, expression: exp.Index) -> str: +151 this = self.sql(expression, "this") +152 table = self.sql(expression, "table") +153 columns = self.sql(expression, "columns") +154 return f"{this} ON TABLE {table} {columns}" +155 +156 +157class Hive(Dialect): +158 alias_post_tablesample = True +159 +160 time_mapping = { +161 "y": "%Y", +162 "Y": "%Y", +163 "YYYY": "%Y", +164 "yyyy": "%Y", +165 "YY": "%y", +166 "yy": "%y", +167 "MMMM": "%B", +168 "MMM": "%b", +169 "MM": "%m", +170 "M": "%-m", +171 "dd": "%d", +172 "d": "%-d", +173 "HH": "%H", +174 "H": "%-H", +175 "hh": "%I", +176 "h": "%-I", +177 "mm": "%M", +178 "m": "%-M", +179 "ss": "%S", +180 "s": "%-S", +181 "SSSSSS": "%f", +182 "a": "%p", +183 "DD": "%j", +184 "D": "%-j", +185 "E": "%a", +186 "EE": "%a", +187 "EEE": "%a", +188 "EEEE": "%A", +189 } +190 +191 date_format = "'yyyy-MM-dd'" +192 dateint_format = "'yyyyMMdd'" +193 time_format = "'yyyy-MM-dd HH:mm:ss'" +194 +195 class Tokenizer(tokens.Tokenizer): +196 QUOTES = ["'", '"'] +197 IDENTIFIERS = ["`"] +198 STRING_ESCAPES = ["\\"] +199 ENCODE = "utf-8" +200 IDENTIFIER_CAN_START_WITH_DIGIT = True +201 +202 KEYWORDS = { +203 **tokens.Tokenizer.KEYWORDS, +204 "ADD ARCHIVE": TokenType.COMMAND, +205 "ADD ARCHIVES": TokenType.COMMAND, +206 "ADD FILE": TokenType.COMMAND, +207 "ADD FILES": TokenType.COMMAND, +208 "ADD JAR": TokenType.COMMAND, +209 "ADD JARS": TokenType.COMMAND, +210 "MSCK REPAIR": TokenType.COMMAND, +211 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, +212 } 213 -214 FUNCTIONS = { -215 **parser.Parser.FUNCTIONS, # type: ignore -216 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, -217 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, -218 "DATE_ADD": lambda args: exp.TsOrDsAdd( -219 this=seq_get(args, 0), -220 expression=seq_get(args, 1), -221 unit=exp.Literal.string("DAY"), -222 ), -223 "DATEDIFF": lambda args: exp.DateDiff( -224 this=exp.TsOrDsToDate(this=seq_get(args, 0)), -225 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), -226 ), -227 "DATE_SUB": lambda args: exp.TsOrDsAdd( -228 this=seq_get(args, 0), -229 expression=exp.Mul( -230 this=seq_get(args, 1), -231 expression=exp.Literal.number(-1), -232 ), -233 unit=exp.Literal.string("DAY"), -234 ), -235 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( -236 [ -237 exp.TimeStrToTime(this=seq_get(args, 0)), -238 seq_get(args, 1), -239 ] -240 ), -241 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), -242 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), -243 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, -244 "LOCATE": locate_to_strposition, -245 "MAP": parse_var_map, -246 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), -247 "PERCENTILE": exp.Quantile.from_arg_list, -248 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, -249 "COLLECT_SET": exp.SetAgg.from_arg_list, -250 "SIZE": exp.ArraySize.from_arg_list, -251 "SPLIT": exp.RegexpSplit.from_arg_list, -252 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), -253 "TO_JSON": exp.JSONFormat.from_arg_list, -254 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), -255 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), -256 } -257 -258 PROPERTY_PARSERS = { -259 **parser.Parser.PROPERTY_PARSERS, # type: ignore -260 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( -261 expressions=self._parse_wrapped_csv(self._parse_property) -262 ), -263 } -264 -265 class Generator(generator.Generator): -266 LIMIT_FETCH = "LIMIT" -267 TABLESAMPLE_WITH_METHOD = False -268 TABLESAMPLE_SIZE_IS_PERCENT = True -269 JOIN_HINTS = False -270 TABLE_HINTS = False -271 -272 TYPE_MAPPING = { -273 **generator.Generator.TYPE_MAPPING, # type: ignore -274 exp.DataType.Type.TEXT: "STRING", -275 exp.DataType.Type.DATETIME: "TIMESTAMP", -276 exp.DataType.Type.VARBINARY: "BINARY", -277 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -278 exp.DataType.Type.BIT: "BOOLEAN", -279 } -280 -281 TRANSFORMS = { -282 **generator.Generator.TRANSFORMS, # type: ignore -283 **transforms.UNALIAS_GROUP, # type: ignore -284 **transforms.ELIMINATE_QUALIFY, # type: ignore -285 exp.Select: transforms.preprocess( -286 [transforms.eliminate_qualify, transforms.unnest_to_explode] -287 ), -288 exp.Property: _property_sql, -289 exp.ApproxDistinct: approx_count_distinct_sql, -290 exp.ArrayConcat: rename_func("CONCAT"), -291 exp.ArraySize: rename_func("SIZE"), -292 exp.ArraySort: _array_sort, -293 exp.With: no_recursive_cte_sql, -294 exp.DateAdd: _add_date_sql, -295 exp.DateDiff: _date_diff_sql, -296 exp.DateStrToDate: rename_func("TO_DATE"), -297 exp.DateSub: _add_date_sql, -298 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)", -299 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})", -300 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", -301 exp.If: if_sql, -302 exp.Index: _index_sql, -303 exp.ILike: no_ilike_sql, -304 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), -305 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), -306 exp.JSONFormat: rename_func("TO_JSON"), -307 exp.Map: var_map_sql, -308 exp.Max: max_or_greatest, -309 exp.Min: min_or_least, -310 exp.VarMap: var_map_sql, -311 exp.Create: create_with_partitions_sql, -312 exp.Quantile: rename_func("PERCENTILE"), -313 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), -314 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), -315 exp.RegexpSplit: rename_func("SPLIT"), -316 exp.SafeDivide: no_safe_divide_sql, -317 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), -318 exp.SetAgg: rename_func("COLLECT_SET"), -319 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", -320 exp.StrPosition: strposition_to_locate_sql, -321 exp.StrToDate: _str_to_date, -322 exp.StrToTime: _str_to_time, -323 exp.StrToUnix: _str_to_unix, -324 exp.StructExtract: struct_extract_sql, -325 exp.TableFormatProperty: lambda self, e: f"USING {self.sql(e, 'this')}", -326 exp.TimeStrToDate: rename_func("TO_DATE"), -327 exp.TimeStrToTime: timestrtotime_sql, -328 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -329 exp.TimeToStr: _time_to_str, -330 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), -331 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", -332 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -333 exp.TsOrDsToDate: _to_date_sql, -334 exp.TryCast: no_trycast_sql, -335 exp.UnixToStr: lambda self, e: self.func( -336 "FROM_UNIXTIME", e.this, _time_format(self, e) -337 ), -338 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -339 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), -340 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", -341 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", -342 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), -343 exp.NumberToStr: rename_func("FORMAT_NUMBER"), -344 exp.LastDateOfMonth: rename_func("LAST_DAY"), -345 exp.National: lambda self, e: self.sql(e, "this"), -346 } -347 -348 PROPERTIES_LOCATION = { -349 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -350 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, -351 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, -352 exp.TableFormatProperty: exp.Properties.Location.POST_SCHEMA, -353 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -354 } -355 -356 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: -357 return self.func( -358 "COLLECT_LIST", -359 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, -360 ) -361 -362 def with_properties(self, properties: exp.Properties) -> str: -363 return self.properties( -364 properties, -365 prefix=self.seg("TBLPROPERTIES"), -366 ) -367 -368 def datatype_sql(self, expression: exp.DataType) -> str: -369 if ( -370 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) -371 and not expression.expressions -372 ): -373 expression = exp.DataType.build("text") -374 elif expression.this in exp.DataType.TEMPORAL_TYPES: -375 expression = exp.DataType.build(expression.this) -376 -377 return super().datatype_sql(expression) +214 NUMERIC_LITERALS = { +215 "L": "BIGINT", +216 "S": "SMALLINT", +217 "Y": "TINYINT", +218 "D": "DOUBLE", +219 "F": "FLOAT", +220 "BD": "DECIMAL", +221 } +222 +223 class Parser(parser.Parser): +224 LOG_DEFAULTS_TO_LN = True +225 STRICT_CAST = False +226 +227 FUNCTIONS = { +228 **parser.Parser.FUNCTIONS, # type: ignore +229 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, +230 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, +231 "DATE_ADD": lambda args: exp.TsOrDsAdd( +232 this=seq_get(args, 0), +233 expression=seq_get(args, 1), +234 unit=exp.Literal.string("DAY"), +235 ), +236 "DATEDIFF": lambda args: exp.DateDiff( +237 this=exp.TsOrDsToDate(this=seq_get(args, 0)), +238 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), +239 ), +240 "DATE_SUB": lambda args: exp.TsOrDsAdd( +241 this=seq_get(args, 0), +242 expression=exp.Mul( +243 this=seq_get(args, 1), +244 expression=exp.Literal.number(-1), +245 ), +246 unit=exp.Literal.string("DAY"), +247 ), +248 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( +249 [ +250 exp.TimeStrToTime(this=seq_get(args, 0)), +251 seq_get(args, 1), +252 ] +253 ), +254 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), +255 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), +256 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, +257 "LOCATE": locate_to_strposition, +258 "MAP": parse_var_map, +259 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), +260 "PERCENTILE": exp.Quantile.from_arg_list, +261 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, +262 "COLLECT_SET": exp.SetAgg.from_arg_list, +263 "SIZE": exp.ArraySize.from_arg_list, +264 "SPLIT": exp.RegexpSplit.from_arg_list, +265 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), +266 "TO_JSON": exp.JSONFormat.from_arg_list, +267 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), +268 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), +269 } +270 +271 PROPERTY_PARSERS = { +272 **parser.Parser.PROPERTY_PARSERS, # type: ignore +273 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( +274 expressions=self._parse_wrapped_csv(self._parse_property) +275 ), +276 } +277 +278 class Generator(generator.Generator): +279 LIMIT_FETCH = "LIMIT" +280 TABLESAMPLE_WITH_METHOD = False +281 TABLESAMPLE_SIZE_IS_PERCENT = True +282 JOIN_HINTS = False +283 TABLE_HINTS = False +284 +285 TYPE_MAPPING = { +286 **generator.Generator.TYPE_MAPPING, # type: ignore +287 exp.DataType.Type.TEXT: "STRING", +288 exp.DataType.Type.DATETIME: "TIMESTAMP", +289 exp.DataType.Type.VARBINARY: "BINARY", +290 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +291 exp.DataType.Type.BIT: "BOOLEAN", +292 } +293 +294 TRANSFORMS = { +295 **generator.Generator.TRANSFORMS, # type: ignore +296 exp.Group: transforms.preprocess([transforms.unalias_group]), +297 exp.Select: transforms.preprocess( +298 [ +299 transforms.eliminate_qualify, +300 transforms.eliminate_distinct_on, +301 transforms.unnest_to_explode, +302 ] +303 ), +304 exp.Property: _property_sql, +305 exp.ApproxDistinct: approx_count_distinct_sql, +306 exp.ArrayConcat: rename_func("CONCAT"), +307 exp.ArraySize: rename_func("SIZE"), +308 exp.ArraySort: _array_sort_sql, +309 exp.With: no_recursive_cte_sql, +310 exp.DateAdd: _add_date_sql, +311 exp.DateDiff: _date_diff_sql, +312 exp.DateStrToDate: rename_func("TO_DATE"), +313 exp.DateSub: _add_date_sql, +314 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)", +315 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})", +316 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", +317 exp.If: if_sql, +318 exp.Index: _index_sql, +319 exp.ILike: no_ilike_sql, +320 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), +321 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), +322 exp.JSONFormat: _json_format_sql, +323 exp.Map: var_map_sql, +324 exp.Max: max_or_greatest, +325 exp.Min: min_or_least, +326 exp.VarMap: var_map_sql, +327 exp.Create: create_with_partitions_sql, +328 exp.Quantile: rename_func("PERCENTILE"), +329 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), +330 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), +331 exp.RegexpSplit: rename_func("SPLIT"), +332 exp.SafeDivide: no_safe_divide_sql, +333 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), +334 exp.SetAgg: rename_func("COLLECT_SET"), +335 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", +336 exp.StrPosition: strposition_to_locate_sql, +337 exp.StrToDate: _str_to_date_sql, +338 exp.StrToTime: _str_to_time_sql, +339 exp.StrToUnix: _str_to_unix_sql, +340 exp.StructExtract: struct_extract_sql, +341 exp.TableFormatProperty: lambda self, e: f"USING {self.sql(e, 'this')}", +342 exp.TimeStrToDate: rename_func("TO_DATE"), +343 exp.TimeStrToTime: timestrtotime_sql, +344 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +345 exp.TimeToStr: _time_to_str, +346 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), +347 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", +348 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +349 exp.TsOrDsToDate: _to_date_sql, +350 exp.TryCast: no_trycast_sql, +351 exp.UnixToStr: lambda self, e: self.func( +352 "FROM_UNIXTIME", e.this, _time_format(self, e) +353 ), +354 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +355 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), +356 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", +357 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", +358 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), +359 exp.NumberToStr: rename_func("FORMAT_NUMBER"), +360 exp.LastDateOfMonth: rename_func("LAST_DAY"), +361 exp.National: lambda self, e: self.sql(e, "this"), +362 } +363 +364 PROPERTIES_LOCATION = { +365 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +366 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, +367 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +368 exp.TableFormatProperty: exp.Properties.Location.POST_SCHEMA, +369 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +370 } +371 +372 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: +373 return self.func( +374 "COLLECT_LIST", +375 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, +376 ) +377 +378 def with_properties(self, properties: exp.Properties) -> str: +379 return self.properties( +380 properties, +381 prefix=self.seg("TBLPROPERTIES"), +382 ) +383 +384 def datatype_sql(self, expression: exp.DataType) -> str: +385 if ( +386 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) +387 and not expression.expressions +388 ): +389 expression = exp.DataType.build("text") +390 elif expression.this in exp.DataType.TEMPORAL_TYPES: +391 expression = exp.DataType.build(expression.this) +392 +393 return super().datatype_sql(expression)-145class Hive(Dialect): -146 alias_post_tablesample = True -147 -148 time_mapping = { -149 "y": "%Y", -150 "Y": "%Y", -151 "YYYY": "%Y", -152 "yyyy": "%Y", -153 "YY": "%y", -154 "yy": "%y", -155 "MMMM": "%B", -156 "MMM": "%b", -157 "MM": "%m", -158 "M": "%-m", -159 "dd": "%d", -160 "d": "%-d", -161 "HH": "%H", -162 "H": "%-H", -163 "hh": "%I", -164 "h": "%-I", -165 "mm": "%M", -166 "m": "%-M", -167 "ss": "%S", -168 "s": "%-S", -169 "SSSSSS": "%f", -170 "a": "%p", -171 "DD": "%j", -172 "D": "%-j", -173 "E": "%a", -174 "EE": "%a", -175 "EEE": "%a", -176 "EEEE": "%A", -177 } -178 -179 date_format = "'yyyy-MM-dd'" -180 dateint_format = "'yyyyMMdd'" -181 time_format = "'yyyy-MM-dd HH:mm:ss'" -182 -183 class Tokenizer(tokens.Tokenizer): -184 QUOTES = ["'", '"'] -185 IDENTIFIERS = ["`"] -186 STRING_ESCAPES = ["\\"] -187 ENCODE = "utf-8" -188 IDENTIFIER_CAN_START_WITH_DIGIT = True -189 -190 KEYWORDS = { -191 **tokens.Tokenizer.KEYWORDS, -192 "ADD ARCHIVE": TokenType.COMMAND, -193 "ADD ARCHIVES": TokenType.COMMAND, -194 "ADD FILE": TokenType.COMMAND, -195 "ADD FILES": TokenType.COMMAND, -196 "ADD JAR": TokenType.COMMAND, -197 "ADD JARS": TokenType.COMMAND, -198 "MSCK REPAIR": TokenType.COMMAND, -199 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, -200 } -201 -202 NUMERIC_LITERALS = { -203 "L": "BIGINT", -204 "S": "SMALLINT", -205 "Y": "TINYINT", -206 "D": "DOUBLE", -207 "F": "FLOAT", -208 "BD": "DECIMAL", -209 } -210 -211 class Parser(parser.Parser): -212 LOG_DEFAULTS_TO_LN = True -213 STRICT_CAST = False +@@ -746,33 +765,33 @@158class Hive(Dialect): +159 alias_post_tablesample = True +160 +161 time_mapping = { +162 "y": "%Y", +163 "Y": "%Y", +164 "YYYY": "%Y", +165 "yyyy": "%Y", +166 "YY": "%y", +167 "yy": "%y", +168 "MMMM": "%B", +169 "MMM": "%b", +170 "MM": "%m", +171 "M": "%-m", +172 "dd": "%d", +173 "d": "%-d", +174 "HH": "%H", +175 "H": "%-H", +176 "hh": "%I", +177 "h": "%-I", +178 "mm": "%M", +179 "m": "%-M", +180 "ss": "%S", +181 "s": "%-S", +182 "SSSSSS": "%f", +183 "a": "%p", +184 "DD": "%j", +185 "D": "%-j", +186 "E": "%a", +187 "EE": "%a", +188 "EEE": "%a", +189 "EEEE": "%A", +190 } +191 +192 date_format = "'yyyy-MM-dd'" +193 dateint_format = "'yyyyMMdd'" +194 time_format = "'yyyy-MM-dd HH:mm:ss'" +195 +196 class Tokenizer(tokens.Tokenizer): +197 QUOTES = ["'", '"'] +198 IDENTIFIERS = ["`"] +199 STRING_ESCAPES = ["\\"] +200 ENCODE = "utf-8" +201 IDENTIFIER_CAN_START_WITH_DIGIT = True +202 +203 KEYWORDS = { +204 **tokens.Tokenizer.KEYWORDS, +205 "ADD ARCHIVE": TokenType.COMMAND, +206 "ADD ARCHIVES": TokenType.COMMAND, +207 "ADD FILE": TokenType.COMMAND, +208 "ADD FILES": TokenType.COMMAND, +209 "ADD JAR": TokenType.COMMAND, +210 "ADD JARS": TokenType.COMMAND, +211 "MSCK REPAIR": TokenType.COMMAND, +212 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, +213 } 214 -215 FUNCTIONS = { -216 **parser.Parser.FUNCTIONS, # type: ignore -217 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, -218 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, -219 "DATE_ADD": lambda args: exp.TsOrDsAdd( -220 this=seq_get(args, 0), -221 expression=seq_get(args, 1), -222 unit=exp.Literal.string("DAY"), -223 ), -224 "DATEDIFF": lambda args: exp.DateDiff( -225 this=exp.TsOrDsToDate(this=seq_get(args, 0)), -226 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), -227 ), -228 "DATE_SUB": lambda args: exp.TsOrDsAdd( -229 this=seq_get(args, 0), -230 expression=exp.Mul( -231 this=seq_get(args, 1), -232 expression=exp.Literal.number(-1), -233 ), -234 unit=exp.Literal.string("DAY"), -235 ), -236 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( -237 [ -238 exp.TimeStrToTime(this=seq_get(args, 0)), -239 seq_get(args, 1), -240 ] -241 ), -242 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), -243 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), -244 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, -245 "LOCATE": locate_to_strposition, -246 "MAP": parse_var_map, -247 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), -248 "PERCENTILE": exp.Quantile.from_arg_list, -249 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, -250 "COLLECT_SET": exp.SetAgg.from_arg_list, -251 "SIZE": exp.ArraySize.from_arg_list, -252 "SPLIT": exp.RegexpSplit.from_arg_list, -253 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), -254 "TO_JSON": exp.JSONFormat.from_arg_list, -255 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), -256 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), -257 } -258 -259 PROPERTY_PARSERS = { -260 **parser.Parser.PROPERTY_PARSERS, # type: ignore -261 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( -262 expressions=self._parse_wrapped_csv(self._parse_property) -263 ), -264 } -265 -266 class Generator(generator.Generator): -267 LIMIT_FETCH = "LIMIT" -268 TABLESAMPLE_WITH_METHOD = False -269 TABLESAMPLE_SIZE_IS_PERCENT = True -270 JOIN_HINTS = False -271 TABLE_HINTS = False -272 -273 TYPE_MAPPING = { -274 **generator.Generator.TYPE_MAPPING, # type: ignore -275 exp.DataType.Type.TEXT: "STRING", -276 exp.DataType.Type.DATETIME: "TIMESTAMP", -277 exp.DataType.Type.VARBINARY: "BINARY", -278 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -279 exp.DataType.Type.BIT: "BOOLEAN", -280 } -281 -282 TRANSFORMS = { -283 **generator.Generator.TRANSFORMS, # type: ignore -284 **transforms.UNALIAS_GROUP, # type: ignore -285 **transforms.ELIMINATE_QUALIFY, # type: ignore -286 exp.Select: transforms.preprocess( -287 [transforms.eliminate_qualify, transforms.unnest_to_explode] -288 ), -289 exp.Property: _property_sql, -290 exp.ApproxDistinct: approx_count_distinct_sql, -291 exp.ArrayConcat: rename_func("CONCAT"), -292 exp.ArraySize: rename_func("SIZE"), -293 exp.ArraySort: _array_sort, -294 exp.With: no_recursive_cte_sql, -295 exp.DateAdd: _add_date_sql, -296 exp.DateDiff: _date_diff_sql, -297 exp.DateStrToDate: rename_func("TO_DATE"), -298 exp.DateSub: _add_date_sql, -299 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)", -300 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})", -301 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", -302 exp.If: if_sql, -303 exp.Index: _index_sql, -304 exp.ILike: no_ilike_sql, -305 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), -306 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), -307 exp.JSONFormat: rename_func("TO_JSON"), -308 exp.Map: var_map_sql, -309 exp.Max: max_or_greatest, -310 exp.Min: min_or_least, -311 exp.VarMap: var_map_sql, -312 exp.Create: create_with_partitions_sql, -313 exp.Quantile: rename_func("PERCENTILE"), -314 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), -315 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), -316 exp.RegexpSplit: rename_func("SPLIT"), -317 exp.SafeDivide: no_safe_divide_sql, -318 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), -319 exp.SetAgg: rename_func("COLLECT_SET"), -320 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", -321 exp.StrPosition: strposition_to_locate_sql, -322 exp.StrToDate: _str_to_date, -323 exp.StrToTime: _str_to_time, -324 exp.StrToUnix: _str_to_unix, -325 exp.StructExtract: struct_extract_sql, -326 exp.TableFormatProperty: lambda self, e: f"USING {self.sql(e, 'this')}", -327 exp.TimeStrToDate: rename_func("TO_DATE"), -328 exp.TimeStrToTime: timestrtotime_sql, -329 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -330 exp.TimeToStr: _time_to_str, -331 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), -332 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", -333 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -334 exp.TsOrDsToDate: _to_date_sql, -335 exp.TryCast: no_trycast_sql, -336 exp.UnixToStr: lambda self, e: self.func( -337 "FROM_UNIXTIME", e.this, _time_format(self, e) -338 ), -339 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -340 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), -341 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", -342 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", -343 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), -344 exp.NumberToStr: rename_func("FORMAT_NUMBER"), -345 exp.LastDateOfMonth: rename_func("LAST_DAY"), -346 exp.National: lambda self, e: self.sql(e, "this"), -347 } -348 -349 PROPERTIES_LOCATION = { -350 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -351 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, -352 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, -353 exp.TableFormatProperty: exp.Properties.Location.POST_SCHEMA, -354 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -355 } -356 -357 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: -358 return self.func( -359 "COLLECT_LIST", -360 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, -361 ) -362 -363 def with_properties(self, properties: exp.Properties) -> str: -364 return self.properties( -365 properties, -366 prefix=self.seg("TBLPROPERTIES"), -367 ) -368 -369 def datatype_sql(self, expression: exp.DataType) -> str: -370 if ( -371 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) -372 and not expression.expressions -373 ): -374 expression = exp.DataType.build("text") -375 elif expression.this in exp.DataType.TEMPORAL_TYPES: -376 expression = exp.DataType.build(expression.this) -377 -378 return super().datatype_sql(expression) +215 NUMERIC_LITERALS = { +216 "L": "BIGINT", +217 "S": "SMALLINT", +218 "Y": "TINYINT", +219 "D": "DOUBLE", +220 "F": "FLOAT", +221 "BD": "DECIMAL", +222 } +223 +224 class Parser(parser.Parser): +225 LOG_DEFAULTS_TO_LN = True +226 STRICT_CAST = False +227 +228 FUNCTIONS = { +229 **parser.Parser.FUNCTIONS, # type: ignore +230 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, +231 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, +232 "DATE_ADD": lambda args: exp.TsOrDsAdd( +233 this=seq_get(args, 0), +234 expression=seq_get(args, 1), +235 unit=exp.Literal.string("DAY"), +236 ), +237 "DATEDIFF": lambda args: exp.DateDiff( +238 this=exp.TsOrDsToDate(this=seq_get(args, 0)), +239 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), +240 ), +241 "DATE_SUB": lambda args: exp.TsOrDsAdd( +242 this=seq_get(args, 0), +243 expression=exp.Mul( +244 this=seq_get(args, 1), +245 expression=exp.Literal.number(-1), +246 ), +247 unit=exp.Literal.string("DAY"), +248 ), +249 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( +250 [ +251 exp.TimeStrToTime(this=seq_get(args, 0)), +252 seq_get(args, 1), +253 ] +254 ), +255 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), +256 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), +257 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, +258 "LOCATE": locate_to_strposition, +259 "MAP": parse_var_map, +260 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), +261 "PERCENTILE": exp.Quantile.from_arg_list, +262 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, +263 "COLLECT_SET": exp.SetAgg.from_arg_list, +264 "SIZE": exp.ArraySize.from_arg_list, +265 "SPLIT": exp.RegexpSplit.from_arg_list, +266 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), +267 "TO_JSON": exp.JSONFormat.from_arg_list, +268 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), +269 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), +270 } +271 +272 PROPERTY_PARSERS = { +273 **parser.Parser.PROPERTY_PARSERS, # type: ignore +274 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( +275 expressions=self._parse_wrapped_csv(self._parse_property) +276 ), +277 } +278 +279 class Generator(generator.Generator): +280 LIMIT_FETCH = "LIMIT" +281 TABLESAMPLE_WITH_METHOD = False +282 TABLESAMPLE_SIZE_IS_PERCENT = True +283 JOIN_HINTS = False +284 TABLE_HINTS = False +285 +286 TYPE_MAPPING = { +287 **generator.Generator.TYPE_MAPPING, # type: ignore +288 exp.DataType.Type.TEXT: "STRING", +289 exp.DataType.Type.DATETIME: "TIMESTAMP", +290 exp.DataType.Type.VARBINARY: "BINARY", +291 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +292 exp.DataType.Type.BIT: "BOOLEAN", +293 } +294 +295 TRANSFORMS = { +296 **generator.Generator.TRANSFORMS, # type: ignore +297 exp.Group: transforms.preprocess([transforms.unalias_group]), +298 exp.Select: transforms.preprocess( +299 [ +300 transforms.eliminate_qualify, +301 transforms.eliminate_distinct_on, +302 transforms.unnest_to_explode, +303 ] +304 ), +305 exp.Property: _property_sql, +306 exp.ApproxDistinct: approx_count_distinct_sql, +307 exp.ArrayConcat: rename_func("CONCAT"), +308 exp.ArraySize: rename_func("SIZE"), +309 exp.ArraySort: _array_sort_sql, +310 exp.With: no_recursive_cte_sql, +311 exp.DateAdd: _add_date_sql, +312 exp.DateDiff: _date_diff_sql, +313 exp.DateStrToDate: rename_func("TO_DATE"), +314 exp.DateSub: _add_date_sql, +315 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)", +316 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})", +317 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", +318 exp.If: if_sql, +319 exp.Index: _index_sql, +320 exp.ILike: no_ilike_sql, +321 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), +322 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), +323 exp.JSONFormat: _json_format_sql, +324 exp.Map: var_map_sql, +325 exp.Max: max_or_greatest, +326 exp.Min: min_or_least, +327 exp.VarMap: var_map_sql, +328 exp.Create: create_with_partitions_sql, +329 exp.Quantile: rename_func("PERCENTILE"), +330 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), +331 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), +332 exp.RegexpSplit: rename_func("SPLIT"), +333 exp.SafeDivide: no_safe_divide_sql, +334 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), +335 exp.SetAgg: rename_func("COLLECT_SET"), +336 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", +337 exp.StrPosition: strposition_to_locate_sql, +338 exp.StrToDate: _str_to_date_sql, +339 exp.StrToTime: _str_to_time_sql, +340 exp.StrToUnix: _str_to_unix_sql, +341 exp.StructExtract: struct_extract_sql, +342 exp.TableFormatProperty: lambda self, e: f"USING {self.sql(e, 'this')}", +343 exp.TimeStrToDate: rename_func("TO_DATE"), +344 exp.TimeStrToTime: timestrtotime_sql, +345 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +346 exp.TimeToStr: _time_to_str, +347 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), +348 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", +349 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +350 exp.TsOrDsToDate: _to_date_sql, +351 exp.TryCast: no_trycast_sql, +352 exp.UnixToStr: lambda self, e: self.func( +353 "FROM_UNIXTIME", e.this, _time_format(self, e) +354 ), +355 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +356 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), +357 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", +358 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", +359 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), +360 exp.NumberToStr: rename_func("FORMAT_NUMBER"), +361 exp.LastDateOfMonth: rename_func("LAST_DAY"), +362 exp.National: lambda self, e: self.sql(e, "this"), +363 } +364 +365 PROPERTIES_LOCATION = { +366 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +367 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, +368 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +369 exp.TableFormatProperty: exp.Properties.Location.POST_SCHEMA, +370 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +371 } +372 +373 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: +374 return self.func( +375 "COLLECT_LIST", +376 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, +377 ) +378 +379 def with_properties(self, properties: exp.Properties) -> str: +380 return self.properties( +381 properties, +382 prefix=self.seg("TBLPROPERTIES"), +383 ) +384 +385 def datatype_sql(self, expression: exp.DataType) -> str: +386 if ( +387 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) +388 and not expression.expressions +389 ): +390 expression = exp.DataType.build("text") +391 elif expression.this in exp.DataType.TEMPORAL_TYPES: +392 expression = exp.DataType.build(expression.this) +393 +394 return super().datatype_sql(expression)-183 class Tokenizer(tokens.Tokenizer): -184 QUOTES = ["'", '"'] -185 IDENTIFIERS = ["`"] -186 STRING_ESCAPES = ["\\"] -187 ENCODE = "utf-8" -188 IDENTIFIER_CAN_START_WITH_DIGIT = True -189 -190 KEYWORDS = { -191 **tokens.Tokenizer.KEYWORDS, -192 "ADD ARCHIVE": TokenType.COMMAND, -193 "ADD ARCHIVES": TokenType.COMMAND, -194 "ADD FILE": TokenType.COMMAND, -195 "ADD FILES": TokenType.COMMAND, -196 "ADD JAR": TokenType.COMMAND, -197 "ADD JARS": TokenType.COMMAND, -198 "MSCK REPAIR": TokenType.COMMAND, -199 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, -200 } -201 -202 NUMERIC_LITERALS = { -203 "L": "BIGINT", -204 "S": "SMALLINT", -205 "Y": "TINYINT", -206 "D": "DOUBLE", -207 "F": "FLOAT", -208 "BD": "DECIMAL", -209 } +@@ -800,60 +819,60 @@196 class Tokenizer(tokens.Tokenizer): +197 QUOTES = ["'", '"'] +198 IDENTIFIERS = ["`"] +199 STRING_ESCAPES = ["\\"] +200 ENCODE = "utf-8" +201 IDENTIFIER_CAN_START_WITH_DIGIT = True +202 +203 KEYWORDS = { +204 **tokens.Tokenizer.KEYWORDS, +205 "ADD ARCHIVE": TokenType.COMMAND, +206 "ADD ARCHIVES": TokenType.COMMAND, +207 "ADD FILE": TokenType.COMMAND, +208 "ADD FILES": TokenType.COMMAND, +209 "ADD JAR": TokenType.COMMAND, +210 "ADD JARS": TokenType.COMMAND, +211 "MSCK REPAIR": TokenType.COMMAND, +212 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, +213 } +214 +215 NUMERIC_LITERALS = { +216 "L": "BIGINT", +217 "S": "SMALLINT", +218 "Y": "TINYINT", +219 "D": "DOUBLE", +220 "F": "FLOAT", +221 "BD": "DECIMAL", +222 }-211 class Parser(parser.Parser): -212 LOG_DEFAULTS_TO_LN = True -213 STRICT_CAST = False -214 -215 FUNCTIONS = { -216 **parser.Parser.FUNCTIONS, # type: ignore -217 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, -218 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, -219 "DATE_ADD": lambda args: exp.TsOrDsAdd( -220 this=seq_get(args, 0), -221 expression=seq_get(args, 1), -222 unit=exp.Literal.string("DAY"), -223 ), -224 "DATEDIFF": lambda args: exp.DateDiff( -225 this=exp.TsOrDsToDate(this=seq_get(args, 0)), -226 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), -227 ), -228 "DATE_SUB": lambda args: exp.TsOrDsAdd( -229 this=seq_get(args, 0), -230 expression=exp.Mul( -231 this=seq_get(args, 1), -232 expression=exp.Literal.number(-1), -233 ), -234 unit=exp.Literal.string("DAY"), -235 ), -236 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( -237 [ -238 exp.TimeStrToTime(this=seq_get(args, 0)), -239 seq_get(args, 1), -240 ] -241 ), -242 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), -243 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), -244 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, -245 "LOCATE": locate_to_strposition, -246 "MAP": parse_var_map, -247 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), -248 "PERCENTILE": exp.Quantile.from_arg_list, -249 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, -250 "COLLECT_SET": exp.SetAgg.from_arg_list, -251 "SIZE": exp.ArraySize.from_arg_list, -252 "SPLIT": exp.RegexpSplit.from_arg_list, -253 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), -254 "TO_JSON": exp.JSONFormat.from_arg_list, -255 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), -256 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), -257 } -258 -259 PROPERTY_PARSERS = { -260 **parser.Parser.PROPERTY_PARSERS, # type: ignore -261 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( -262 expressions=self._parse_wrapped_csv(self._parse_property) -263 ), -264 } +@@ -910,119 +929,122 @@ Default: "nulls_are_small"224 class Parser(parser.Parser): +225 LOG_DEFAULTS_TO_LN = True +226 STRICT_CAST = False +227 +228 FUNCTIONS = { +229 **parser.Parser.FUNCTIONS, # type: ignore +230 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, +231 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, +232 "DATE_ADD": lambda args: exp.TsOrDsAdd( +233 this=seq_get(args, 0), +234 expression=seq_get(args, 1), +235 unit=exp.Literal.string("DAY"), +236 ), +237 "DATEDIFF": lambda args: exp.DateDiff( +238 this=exp.TsOrDsToDate(this=seq_get(args, 0)), +239 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), +240 ), +241 "DATE_SUB": lambda args: exp.TsOrDsAdd( +242 this=seq_get(args, 0), +243 expression=exp.Mul( +244 this=seq_get(args, 1), +245 expression=exp.Literal.number(-1), +246 ), +247 unit=exp.Literal.string("DAY"), +248 ), +249 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( +250 [ +251 exp.TimeStrToTime(this=seq_get(args, 0)), +252 seq_get(args, 1), +253 ] +254 ), +255 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), +256 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), +257 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, +258 "LOCATE": locate_to_strposition, +259 "MAP": parse_var_map, +260 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), +261 "PERCENTILE": exp.Quantile.from_arg_list, +262 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, +263 "COLLECT_SET": exp.SetAgg.from_arg_list, +264 "SIZE": exp.ArraySize.from_arg_list, +265 "SPLIT": exp.RegexpSplit.from_arg_list, +266 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), +267 "TO_JSON": exp.JSONFormat.from_arg_list, +268 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), +269 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), +270 } +271 +272 PROPERTY_PARSERS = { +273 **parser.Parser.PROPERTY_PARSERS, # type: ignore +274 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( +275 expressions=self._parse_wrapped_csv(self._parse_property) +276 ), +277 }-266 class Generator(generator.Generator): -267 LIMIT_FETCH = "LIMIT" -268 TABLESAMPLE_WITH_METHOD = False -269 TABLESAMPLE_SIZE_IS_PERCENT = True -270 JOIN_HINTS = False -271 TABLE_HINTS = False -272 -273 TYPE_MAPPING = { -274 **generator.Generator.TYPE_MAPPING, # type: ignore -275 exp.DataType.Type.TEXT: "STRING", -276 exp.DataType.Type.DATETIME: "TIMESTAMP", -277 exp.DataType.Type.VARBINARY: "BINARY", -278 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -279 exp.DataType.Type.BIT: "BOOLEAN", -280 } -281 -282 TRANSFORMS = { -283 **generator.Generator.TRANSFORMS, # type: ignore -284 **transforms.UNALIAS_GROUP, # type: ignore -285 **transforms.ELIMINATE_QUALIFY, # type: ignore -286 exp.Select: transforms.preprocess( -287 [transforms.eliminate_qualify, transforms.unnest_to_explode] -288 ), -289 exp.Property: _property_sql, -290 exp.ApproxDistinct: approx_count_distinct_sql, -291 exp.ArrayConcat: rename_func("CONCAT"), -292 exp.ArraySize: rename_func("SIZE"), -293 exp.ArraySort: _array_sort, -294 exp.With: no_recursive_cte_sql, -295 exp.DateAdd: _add_date_sql, -296 exp.DateDiff: _date_diff_sql, -297 exp.DateStrToDate: rename_func("TO_DATE"), -298 exp.DateSub: _add_date_sql, -299 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)", -300 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})", -301 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", -302 exp.If: if_sql, -303 exp.Index: _index_sql, -304 exp.ILike: no_ilike_sql, -305 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), -306 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), -307 exp.JSONFormat: rename_func("TO_JSON"), -308 exp.Map: var_map_sql, -309 exp.Max: max_or_greatest, -310 exp.Min: min_or_least, -311 exp.VarMap: var_map_sql, -312 exp.Create: create_with_partitions_sql, -313 exp.Quantile: rename_func("PERCENTILE"), -314 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), -315 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), -316 exp.RegexpSplit: rename_func("SPLIT"), -317 exp.SafeDivide: no_safe_divide_sql, -318 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), -319 exp.SetAgg: rename_func("COLLECT_SET"), -320 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", -321 exp.StrPosition: strposition_to_locate_sql, -322 exp.StrToDate: _str_to_date, -323 exp.StrToTime: _str_to_time, -324 exp.StrToUnix: _str_to_unix, -325 exp.StructExtract: struct_extract_sql, -326 exp.TableFormatProperty: lambda self, e: f"USING {self.sql(e, 'this')}", -327 exp.TimeStrToDate: rename_func("TO_DATE"), -328 exp.TimeStrToTime: timestrtotime_sql, -329 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -330 exp.TimeToStr: _time_to_str, -331 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), -332 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", -333 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -334 exp.TsOrDsToDate: _to_date_sql, -335 exp.TryCast: no_trycast_sql, -336 exp.UnixToStr: lambda self, e: self.func( -337 "FROM_UNIXTIME", e.this, _time_format(self, e) -338 ), -339 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -340 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), -341 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", -342 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", -343 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), -344 exp.NumberToStr: rename_func("FORMAT_NUMBER"), -345 exp.LastDateOfMonth: rename_func("LAST_DAY"), -346 exp.National: lambda self, e: self.sql(e, "this"), -347 } -348 -349 PROPERTIES_LOCATION = { -350 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -351 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, -352 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, -353 exp.TableFormatProperty: exp.Properties.Location.POST_SCHEMA, -354 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -355 } -356 -357 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: -358 return self.func( -359 "COLLECT_LIST", -360 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, -361 ) -362 -363 def with_properties(self, properties: exp.Properties) -> str: -364 return self.properties( -365 properties, -366 prefix=self.seg("TBLPROPERTIES"), -367 ) -368 -369 def datatype_sql(self, expression: exp.DataType) -> str: -370 if ( -371 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) -372 and not expression.expressions -373 ): -374 expression = exp.DataType.build("text") -375 elif expression.this in exp.DataType.TEMPORAL_TYPES: -376 expression = exp.DataType.build(expression.this) -377 -378 return super().datatype_sql(expression) +@@ -1081,11 +1103,11 @@ Default: True279 class Generator(generator.Generator): +280 LIMIT_FETCH = "LIMIT" +281 TABLESAMPLE_WITH_METHOD = False +282 TABLESAMPLE_SIZE_IS_PERCENT = True +283 JOIN_HINTS = False +284 TABLE_HINTS = False +285 +286 TYPE_MAPPING = { +287 **generator.Generator.TYPE_MAPPING, # type: ignore +288 exp.DataType.Type.TEXT: "STRING", +289 exp.DataType.Type.DATETIME: "TIMESTAMP", +290 exp.DataType.Type.VARBINARY: "BINARY", +291 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +292 exp.DataType.Type.BIT: "BOOLEAN", +293 } +294 +295 TRANSFORMS = { +296 **generator.Generator.TRANSFORMS, # type: ignore +297 exp.Group: transforms.preprocess([transforms.unalias_group]), +298 exp.Select: transforms.preprocess( +299 [ +300 transforms.eliminate_qualify, +301 transforms.eliminate_distinct_on, +302 transforms.unnest_to_explode, +303 ] +304 ), +305 exp.Property: _property_sql, +306 exp.ApproxDistinct: approx_count_distinct_sql, +307 exp.ArrayConcat: rename_func("CONCAT"), +308 exp.ArraySize: rename_func("SIZE"), +309 exp.ArraySort: _array_sort_sql, +310 exp.With: no_recursive_cte_sql, +311 exp.DateAdd: _add_date_sql, +312 exp.DateDiff: _date_diff_sql, +313 exp.DateStrToDate: rename_func("TO_DATE"), +314 exp.DateSub: _add_date_sql, +315 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)", +316 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})", +317 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", +318 exp.If: if_sql, +319 exp.Index: _index_sql, +320 exp.ILike: no_ilike_sql, +321 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), +322 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), +323 exp.JSONFormat: _json_format_sql, +324 exp.Map: var_map_sql, +325 exp.Max: max_or_greatest, +326 exp.Min: min_or_least, +327 exp.VarMap: var_map_sql, +328 exp.Create: create_with_partitions_sql, +329 exp.Quantile: rename_func("PERCENTILE"), +330 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), +331 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), +332 exp.RegexpSplit: rename_func("SPLIT"), +333 exp.SafeDivide: no_safe_divide_sql, +334 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), +335 exp.SetAgg: rename_func("COLLECT_SET"), +336 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", +337 exp.StrPosition: strposition_to_locate_sql, +338 exp.StrToDate: _str_to_date_sql, +339 exp.StrToTime: _str_to_time_sql, +340 exp.StrToUnix: _str_to_unix_sql, +341 exp.StructExtract: struct_extract_sql, +342 exp.TableFormatProperty: lambda self, e: f"USING {self.sql(e, 'this')}", +343 exp.TimeStrToDate: rename_func("TO_DATE"), +344 exp.TimeStrToTime: timestrtotime_sql, +345 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +346 exp.TimeToStr: _time_to_str, +347 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), +348 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", +349 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +350 exp.TsOrDsToDate: _to_date_sql, +351 exp.TryCast: no_trycast_sql, +352 exp.UnixToStr: lambda self, e: self.func( +353 "FROM_UNIXTIME", e.this, _time_format(self, e) +354 ), +355 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +356 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), +357 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", +358 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", +359 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), +360 exp.NumberToStr: rename_func("FORMAT_NUMBER"), +361 exp.LastDateOfMonth: rename_func("LAST_DAY"), +362 exp.National: lambda self, e: self.sql(e, "this"), +363 } +364 +365 PROPERTIES_LOCATION = { +366 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +367 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, +368 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +369 exp.TableFormatProperty: exp.Properties.Location.POST_SCHEMA, +370 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +371 } +372 +373 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: +374 return self.func( +375 "COLLECT_LIST", +376 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, +377 ) +378 +379 def with_properties(self, properties: exp.Properties) -> str: +380 return self.properties( +381 properties, +382 prefix=self.seg("TBLPROPERTIES"), +383 ) +384 +385 def datatype_sql(self, expression: exp.DataType) -> str: +386 if ( +387 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) +388 and not expression.expressions +389 ): +390 expression = exp.DataType.build("text") +391 elif expression.this in exp.DataType.TEMPORAL_TYPES: +392 expression = exp.DataType.build(expression.this) +393 +394 return super().datatype_sql(expression)-357 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: -358 return self.func( -359 "COLLECT_LIST", -360 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, -361 ) + @@ -1103,11 +1125,11 @@ Default: True-363 def with_properties(self, properties: exp.Properties) -> str: -364 return self.properties( -365 properties, -366 prefix=self.seg("TBLPROPERTIES"), -367 ) + @@ -1125,16 +1147,16 @@ Default: True@@ -1378,84 +1380,85 @@ Default: "nulls_are_small" 404 exp.Min: min_or_least, 405 exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"), 406 exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")), -407 exp.StrPosition: strposition_to_locate_sql, -408 exp.StrToDate: _str_to_date_sql, -409 exp.StrToTime: _str_to_date_sql, -410 exp.TableSample: no_tablesample_sql, -411 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -412 exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)), -413 exp.Trim: _trim_sql, -414 exp.TryCast: no_trycast_sql, -415 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -416 } -417 -418 TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy() -419 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT) -420 TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT) -421 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB) -422 TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB) -423 -424 PROPERTIES_LOCATION = { -425 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -426 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, -427 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -428 } -429 -430 LIMIT_FETCH = "LIMIT" -431 -432 def show_sql(self, expression: exp.Show) -> str: -433 this = f" {expression.name}" -434 full = " FULL" if expression.args.get("full") else "" -435 global_ = " GLOBAL" if expression.args.get("global") else "" -436 -437 target = self.sql(expression, "target") -438 target = f" {target}" if target else "" -439 if expression.name in {"COLUMNS", "INDEX"}: -440 target = f" FROM{target}" -441 elif expression.name == "GRANTS": -442 target = f" FOR{target}" -443 -444 db = self._prefixed_sql("FROM", expression, "db") -445 -446 like = self._prefixed_sql("LIKE", expression, "like") -447 where = self.sql(expression, "where") -448 -449 types = self.expressions(expression, key="types") -450 types = f" {types}" if types else types -451 query = self._prefixed_sql("FOR QUERY", expression, "query") -452 -453 if expression.name == "PROFILE": -454 offset = self._prefixed_sql("OFFSET", expression, "offset") -455 limit = self._prefixed_sql("LIMIT", expression, "limit") -456 else: -457 offset = "" -458 limit = self._oldstyle_limit_sql(expression) -459 -460 log = self._prefixed_sql("IN", expression, "log") -461 position = self._prefixed_sql("FROM", expression, "position") -462 -463 channel = self._prefixed_sql("FOR CHANNEL", expression, "channel") -464 -465 if expression.name == "ENGINE": -466 mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS" -467 else: -468 mutex_or_status = "" -469 -470 return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}" -471 -472 def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str: -473 sql = self.sql(expression, arg) -474 if not sql: -475 return "" -476 return f" {prefix} {sql}" -477 -478 def _oldstyle_limit_sql(self, expression: exp.Show) -> str: -479 limit = self.sql(expression, "limit") -480 offset = self.sql(expression, "offset") -481 if limit: -482 limit_offset = f"{offset}, {limit}" if offset else limit -483 return f" LIMIT {limit_offset}" -484 return "" +407 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +408 exp.StrPosition: strposition_to_locate_sql, +409 exp.StrToDate: _str_to_date_sql, +410 exp.StrToTime: _str_to_date_sql, +411 exp.TableSample: no_tablesample_sql, +412 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +413 exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)), +414 exp.Trim: _trim_sql, +415 exp.TryCast: no_trycast_sql, +416 exp.WeekOfYear: rename_func("WEEKOFYEAR"), +417 } +418 +419 TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy() +420 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT) +421 TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT) +422 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB) +423 TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB) +424 +425 PROPERTIES_LOCATION = { +426 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +427 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, +428 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +429 } +430 +431 LIMIT_FETCH = "LIMIT" +432 +433 def show_sql(self, expression: exp.Show) -> str: +434 this = f" {expression.name}" +435 full = " FULL" if expression.args.get("full") else "" +436 global_ = " GLOBAL" if expression.args.get("global") else "" +437 +438 target = self.sql(expression, "target") +439 target = f" {target}" if target else "" +440 if expression.name in {"COLUMNS", "INDEX"}: +441 target = f" FROM{target}" +442 elif expression.name == "GRANTS": +443 target = f" FOR{target}" +444 +445 db = self._prefixed_sql("FROM", expression, "db") +446 +447 like = self._prefixed_sql("LIKE", expression, "like") +448 where = self.sql(expression, "where") +449 +450 types = self.expressions(expression, key="types") +451 types = f" {types}" if types else types +452 query = self._prefixed_sql("FOR QUERY", expression, "query") +453 +454 if expression.name == "PROFILE": +455 offset = self._prefixed_sql("OFFSET", expression, "offset") +456 limit = self._prefixed_sql("LIMIT", expression, "limit") +457 else: +458 offset = "" +459 limit = self._oldstyle_limit_sql(expression) +460 +461 log = self._prefixed_sql("IN", expression, "log") +462 position = self._prefixed_sql("FROM", expression, "position") +463 +464 channel = self._prefixed_sql("FOR CHANNEL", expression, "channel") +465 +466 if expression.name == "ENGINE": +467 mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS" +468 else: +469 mutex_or_status = "" +470 +471 return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}" +472 +473 def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str: +474 sql = self.sql(expression, arg) +475 if not sql: +476 return "" +477 return f" {prefix} {sql}" +478 +479 def _oldstyle_limit_sql(self, expression: exp.Show) -> str: +480 limit = self.sql(expression, "limit") +481 offset = self.sql(expression, "offset") +482 if limit: +483 limit_offset = f"{offset}, {limit}" if offset else limit +484 return f" LIMIT {limit_offset}" +485 return ""369 def datatype_sql(self, expression: exp.DataType) -> str: -370 if ( -371 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) -372 and not expression.expressions -373 ): -374 expression = exp.DataType.build("text") -375 elif expression.this in exp.DataType.TEMPORAL_TYPES: -376 expression = exp.DataType.build(expression.this) -377 -378 return super().datatype_sql(expression) +@@ -1263,7 +1285,7 @@ Default: True385 def datatype_sql(self, expression: exp.DataType) -> str: +386 if ( +387 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) +388 and not expression.expressions +389 ): +390 expression = exp.DataType.build("text") +391 elif expression.this in exp.DataType.TEMPORAL_TYPES: +392 expression = exp.DataType.build(expression.this) +393 +394 return super().datatype_sql(expression)where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -1272,6 +1294,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/mysql.html b/docs/sqlglot/dialects/mysql.html index d87f91a..0e62bcc 100644 --- a/docs/sqlglot/dialects/mysql.html +++ b/docs/sqlglot/dialects/mysql.html @@ -82,7 +82,7 @@@@ -891,84 +892,85 @@ 404 exp.Min: min_or_least, 405 exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"), 406 exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")), -407 exp.StrPosition: strposition_to_locate_sql, -408 exp.StrToDate: _str_to_date_sql, -409 exp.StrToTime: _str_to_date_sql, -410 exp.TableSample: no_tablesample_sql, -411 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -412 exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)), -413 exp.Trim: _trim_sql, -414 exp.TryCast: no_trycast_sql, -415 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -416 } -417 -418 TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy() -419 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT) -420 TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT) -421 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB) -422 TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB) -423 -424 PROPERTIES_LOCATION = { -425 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -426 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, -427 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -428 } -429 -430 LIMIT_FETCH = "LIMIT" -431 -432 def show_sql(self, expression: exp.Show) -> str: -433 this = f" {expression.name}" -434 full = " FULL" if expression.args.get("full") else "" -435 global_ = " GLOBAL" if expression.args.get("global") else "" -436 -437 target = self.sql(expression, "target") -438 target = f" {target}" if target else "" -439 if expression.name in {"COLUMNS", "INDEX"}: -440 target = f" FROM{target}" -441 elif expression.name == "GRANTS": -442 target = f" FOR{target}" -443 -444 db = self._prefixed_sql("FROM", expression, "db") -445 -446 like = self._prefixed_sql("LIKE", expression, "like") -447 where = self.sql(expression, "where") -448 -449 types = self.expressions(expression, key="types") -450 types = f" {types}" if types else types -451 query = self._prefixed_sql("FOR QUERY", expression, "query") -452 -453 if expression.name == "PROFILE": -454 offset = self._prefixed_sql("OFFSET", expression, "offset") -455 limit = self._prefixed_sql("LIMIT", expression, "limit") -456 else: -457 offset = "" -458 limit = self._oldstyle_limit_sql(expression) -459 -460 log = self._prefixed_sql("IN", expression, "log") -461 position = self._prefixed_sql("FROM", expression, "position") -462 -463 channel = self._prefixed_sql("FOR CHANNEL", expression, "channel") -464 -465 if expression.name == "ENGINE": -466 mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS" -467 else: -468 mutex_or_status = "" -469 -470 return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}" -471 -472 def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str: -473 sql = self.sql(expression, arg) -474 if not sql: -475 return "" -476 return f" {prefix} {sql}" -477 -478 def _oldstyle_limit_sql(self, expression: exp.Show) -> str: -479 limit = self.sql(expression, "limit") -480 offset = self.sql(expression, "offset") -481 if limit: -482 limit_offset = f"{offset}, {limit}" if offset else limit -483 return f" LIMIT {limit_offset}" -484 return "" +407 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +408 exp.StrPosition: strposition_to_locate_sql, +409 exp.StrToDate: _str_to_date_sql, +410 exp.StrToTime: _str_to_date_sql, +411 exp.TableSample: no_tablesample_sql, +412 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +413 exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)), +414 exp.Trim: _trim_sql, +415 exp.TryCast: no_trycast_sql, +416 exp.WeekOfYear: rename_func("WEEKOFYEAR"), +417 } +418 +419 TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy() +420 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT) +421 TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT) +422 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB) +423 TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB) +424 +425 PROPERTIES_LOCATION = { +426 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +427 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, +428 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +429 } +430 +431 LIMIT_FETCH = "LIMIT" +432 +433 def show_sql(self, expression: exp.Show) -> str: +434 this = f" {expression.name}" +435 full = " FULL" if expression.args.get("full") else "" +436 global_ = " GLOBAL" if expression.args.get("global") else "" +437 +438 target = self.sql(expression, "target") +439 target = f" {target}" if target else "" +440 if expression.name in {"COLUMNS", "INDEX"}: +441 target = f" FROM{target}" +442 elif expression.name == "GRANTS": +443 target = f" FOR{target}" +444 +445 db = self._prefixed_sql("FROM", expression, "db") +446 +447 like = self._prefixed_sql("LIKE", expression, "like") +448 where = self.sql(expression, "where") +449 +450 types = self.expressions(expression, key="types") +451 types = f" {types}" if types else types +452 query = self._prefixed_sql("FOR QUERY", expression, "query") +453 +454 if expression.name == "PROFILE": +455 offset = self._prefixed_sql("OFFSET", expression, "offset") +456 limit = self._prefixed_sql("LIMIT", expression, "limit") +457 else: +458 offset = "" +459 limit = self._oldstyle_limit_sql(expression) +460 +461 log = self._prefixed_sql("IN", expression, "log") +462 position = self._prefixed_sql("FROM", expression, "position") +463 +464 channel = self._prefixed_sql("FOR CHANNEL", expression, "channel") +465 +466 if expression.name == "ENGINE": +467 mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS" +468 else: +469 mutex_or_status = "" +470 +471 return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}" +472 +473 def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str: +474 sql = self.sql(expression, arg) +475 if not sql: +476 return "" +477 return f" {prefix} {sql}" +478 +479 def _oldstyle_limit_sql(self, expression: exp.Show) -> str: +480 limit = self.sql(expression, "limit") +481 offset = self.sql(expression, "offset") +482 if limit: +483 limit_offset = f"{offset}, {limit}" if offset else limit +484 return f" LIMIT {limit_offset}" +485 return ""1from __future__ import annotations 2 - 3from sqlglot import exp, generator, parser, tokens + 3from sqlglot import exp, generator, parser, tokens, transforms 4from sqlglot.dialects.dialect import ( 5 Dialect, 6 arrow_json_extract_scalar_sql, @@ -485,84 +485,85 @@ 403 exp.Min: min_or_least, 404 exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"), 405 exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")), -406 exp.StrPosition: strposition_to_locate_sql, -407 exp.StrToDate: _str_to_date_sql, -408 exp.StrToTime: _str_to_date_sql, -409 exp.TableSample: no_tablesample_sql, -410 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -411 exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)), -412 exp.Trim: _trim_sql, -413 exp.TryCast: no_trycast_sql, -414 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -415 } -416 -417 TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy() -418 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT) -419 TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT) -420 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB) -421 TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB) -422 -423 PROPERTIES_LOCATION = { -424 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -425 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, -426 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -427 } -428 -429 LIMIT_FETCH = "LIMIT" -430 -431 def show_sql(self, expression: exp.Show) -> str: -432 this = f" {expression.name}" -433 full = " FULL" if expression.args.get("full") else "" -434 global_ = " GLOBAL" if expression.args.get("global") else "" -435 -436 target = self.sql(expression, "target") -437 target = f" {target}" if target else "" -438 if expression.name in {"COLUMNS", "INDEX"}: -439 target = f" FROM{target}" -440 elif expression.name == "GRANTS": -441 target = f" FOR{target}" -442 -443 db = self._prefixed_sql("FROM", expression, "db") -444 -445 like = self._prefixed_sql("LIKE", expression, "like") -446 where = self.sql(expression, "where") -447 -448 types = self.expressions(expression, key="types") -449 types = f" {types}" if types else types -450 query = self._prefixed_sql("FOR QUERY", expression, "query") -451 -452 if expression.name == "PROFILE": -453 offset = self._prefixed_sql("OFFSET", expression, "offset") -454 limit = self._prefixed_sql("LIMIT", expression, "limit") -455 else: -456 offset = "" -457 limit = self._oldstyle_limit_sql(expression) -458 -459 log = self._prefixed_sql("IN", expression, "log") -460 position = self._prefixed_sql("FROM", expression, "position") -461 -462 channel = self._prefixed_sql("FOR CHANNEL", expression, "channel") -463 -464 if expression.name == "ENGINE": -465 mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS" -466 else: -467 mutex_or_status = "" -468 -469 return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}" -470 -471 def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str: -472 sql = self.sql(expression, arg) -473 if not sql: -474 return "" -475 return f" {prefix} {sql}" -476 -477 def _oldstyle_limit_sql(self, expression: exp.Show) -> str: -478 limit = self.sql(expression, "limit") -479 offset = self.sql(expression, "offset") -480 if limit: -481 limit_offset = f"{offset}, {limit}" if offset else limit -482 return f" LIMIT {limit_offset}" -483 return "" +406 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +407 exp.StrPosition: strposition_to_locate_sql, +408 exp.StrToDate: _str_to_date_sql, +409 exp.StrToTime: _str_to_date_sql, +410 exp.TableSample: no_tablesample_sql, +411 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +412 exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)), +413 exp.Trim: _trim_sql, +414 exp.TryCast: no_trycast_sql, +415 exp.WeekOfYear: rename_func("WEEKOFYEAR"), +416 } +417 +418 TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy() +419 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT) +420 TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT) +421 TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB) +422 TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB) +423 +424 PROPERTIES_LOCATION = { +425 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +426 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, +427 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +428 } +429 +430 LIMIT_FETCH = "LIMIT" +431 +432 def show_sql(self, expression: exp.Show) -> str: +433 this = f" {expression.name}" +434 full = " FULL" if expression.args.get("full") else "" +435 global_ = " GLOBAL" if expression.args.get("global") else "" +436 +437 target = self.sql(expression, "target") +438 target = f" {target}" if target else "" +439 if expression.name in {"COLUMNS", "INDEX"}: +440 target = f" FROM{target}" +441 elif expression.name == "GRANTS": +442 target = f" FOR{target}" +443 +444 db = self._prefixed_sql("FROM", expression, "db") +445 +446 like = self._prefixed_sql("LIKE", expression, "like") +447 where = self.sql(expression, "where") +448 +449 types = self.expressions(expression, key="types") +450 types = f" {types}" if types else types +451 query = self._prefixed_sql("FOR QUERY", expression, "query") +452 +453 if expression.name == "PROFILE": +454 offset = self._prefixed_sql("OFFSET", expression, "offset") +455 limit = self._prefixed_sql("LIMIT", expression, "limit") +456 else: +457 offset = "" +458 limit = self._oldstyle_limit_sql(expression) +459 +460 log = self._prefixed_sql("IN", expression, "log") +461 position = self._prefixed_sql("FROM", expression, "position") +462 +463 channel = self._prefixed_sql("FOR CHANNEL", expression, "channel") +464 +465 if expression.name == "ENGINE": +466 mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS" +467 else: +468 mutex_or_status = "" +469 +470 return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}" +471 +472 def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str: +473 sql = self.sql(expression, arg) +474 if not sql: +475 return "" +476 return f" {prefix} {sql}" +477 +478 def _oldstyle_limit_sql(self, expression: exp.Show) -> str: +479 limit = self.sql(expression, "limit") +480 offset = self.sql(expression, "offset") +481 if limit: +482 limit_offset = f"{offset}, {limit}" if offset else limit +483 return f" LIMIT {limit_offset}" +484 return ""@@ -278,146 +289,157 @@432 def show_sql(self, expression: exp.Show) -> str: -433 this = f" {expression.name}" -434 full = " FULL" if expression.args.get("full") else "" -435 global_ = " GLOBAL" if expression.args.get("global") else "" -436 -437 target = self.sql(expression, "target") -438 target = f" {target}" if target else "" -439 if expression.name in {"COLUMNS", "INDEX"}: -440 target = f" FROM{target}" -441 elif expression.name == "GRANTS": -442 target = f" FOR{target}" -443 -444 db = self._prefixed_sql("FROM", expression, "db") -445 -446 like = self._prefixed_sql("LIKE", expression, "like") -447 where = self.sql(expression, "where") -448 -449 types = self.expressions(expression, key="types") -450 types = f" {types}" if types else types -451 query = self._prefixed_sql("FOR QUERY", expression, "query") -452 -453 if expression.name == "PROFILE": -454 offset = self._prefixed_sql("OFFSET", expression, "offset") -455 limit = self._prefixed_sql("LIMIT", expression, "limit") -456 else: -457 offset = "" -458 limit = self._oldstyle_limit_sql(expression) -459 -460 log = self._prefixed_sql("IN", expression, "log") -461 position = self._prefixed_sql("FROM", expression, "position") -462 -463 channel = self._prefixed_sql("FOR CHANNEL", expression, "channel") -464 -465 if expression.name == "ENGINE": -466 mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS" -467 else: -468 mutex_or_status = "" -469 -470 return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}" +@@ -1683,7 +1686,7 @@ Default: True433 def show_sql(self, expression: exp.Show) -> str: +434 this = f" {expression.name}" +435 full = " FULL" if expression.args.get("full") else "" +436 global_ = " GLOBAL" if expression.args.get("global") else "" +437 +438 target = self.sql(expression, "target") +439 target = f" {target}" if target else "" +440 if expression.name in {"COLUMNS", "INDEX"}: +441 target = f" FROM{target}" +442 elif expression.name == "GRANTS": +443 target = f" FOR{target}" +444 +445 db = self._prefixed_sql("FROM", expression, "db") +446 +447 like = self._prefixed_sql("LIKE", expression, "like") +448 where = self.sql(expression, "where") +449 +450 types = self.expressions(expression, key="types") +451 types = f" {types}" if types else types +452 query = self._prefixed_sql("FOR QUERY", expression, "query") +453 +454 if expression.name == "PROFILE": +455 offset = self._prefixed_sql("OFFSET", expression, "offset") +456 limit = self._prefixed_sql("LIMIT", expression, "limit") +457 else: +458 offset = "" +459 limit = self._oldstyle_limit_sql(expression) +460 +461 log = self._prefixed_sql("IN", expression, "log") +462 position = self._prefixed_sql("FROM", expression, "position") +463 +464 channel = self._prefixed_sql("FOR CHANNEL", expression, "channel") +465 +466 if expression.name == "ENGINE": +467 mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS" +468 else: +469 mutex_or_status = "" +470 +471 return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -1692,6 +1695,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/oracle.html b/docs/sqlglot/dialects/oracle.html index a6534d3..df16a26 100644 --- a/docs/sqlglot/dialects/oracle.html +++ b/docs/sqlglot/dialects/oracle.html @@ -122,146 +122,157 @@ 34 35 36class Oracle(Dialect): - 37 # https://docs.oracle.com/database/121/SQLRF/sql_elements004.htm#SQLRF00212 - 38 # https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes - 39 time_mapping = { - 40 "AM": "%p", # Meridian indicator with or without periods - 41 "A.M.": "%p", # Meridian indicator with or without periods - 42 "PM": "%p", # Meridian indicator with or without periods - 43 "P.M.": "%p", # Meridian indicator with or without periods - 44 "D": "%u", # Day of week (1-7) - 45 "DAY": "%A", # name of day - 46 "DD": "%d", # day of month (1-31) - 47 "DDD": "%j", # day of year (1-366) - 48 "DY": "%a", # abbreviated name of day - 49 "HH": "%I", # Hour of day (1-12) - 50 "HH12": "%I", # alias for HH - 51 "HH24": "%H", # Hour of day (0-23) - 52 "IW": "%V", # Calendar week of year (1-52 or 1-53), as defined by the ISO 8601 standard - 53 "MI": "%M", # Minute (0-59) - 54 "MM": "%m", # Month (01-12; January = 01) - 55 "MON": "%b", # Abbreviated name of month - 56 "MONTH": "%B", # Name of month - 57 "SS": "%S", # Second (0-59) - 58 "WW": "%W", # Week of year (1-53) - 59 "YY": "%y", # 15 - 60 "YYYY": "%Y", # 2015 - 61 } - 62 - 63 class Parser(parser.Parser): - 64 FUNCTIONS = { - 65 **parser.Parser.FUNCTIONS, # type: ignore - 66 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), - 67 } - 68 - 69 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { - 70 **parser.Parser.FUNCTION_PARSERS, - 71 "XMLTABLE": _parse_xml_table, - 72 } - 73 - 74 TYPE_LITERAL_PARSERS = { - 75 exp.DataType.Type.DATE: lambda self, this, _: self.expression( - 76 exp.DateStrToDate, this=this - 77 ) - 78 } - 79 - 80 def _parse_column(self) -> t.Optional[exp.Expression]: - 81 column = super()._parse_column() - 82 if column: - 83 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) - 84 return column - 85 - 86 def _parse_hint(self) -> t.Optional[exp.Expression]: - 87 if self._match(TokenType.HINT): - 88 start = self._curr - 89 while self._curr and not self._match_pair(TokenType.STAR, TokenType.SLASH): - 90 self._advance() - 91 - 92 if not self._curr: - 93 self.raise_error("Expected */ after HINT") - 94 - 95 end = self._tokens[self._index - 3] - 96 return exp.Hint(expressions=[self._find_sql(start, end)]) - 97 - 98 return None - 99 -100 class Generator(generator.Generator): -101 LOCKING_READS_SUPPORTED = True -102 JOIN_HINTS = False -103 TABLE_HINTS = False -104 -105 TYPE_MAPPING = { -106 **generator.Generator.TYPE_MAPPING, # type: ignore -107 exp.DataType.Type.TINYINT: "NUMBER", -108 exp.DataType.Type.SMALLINT: "NUMBER", -109 exp.DataType.Type.INT: "NUMBER", -110 exp.DataType.Type.BIGINT: "NUMBER", -111 exp.DataType.Type.DECIMAL: "NUMBER", -112 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", -113 exp.DataType.Type.VARCHAR: "VARCHAR2", -114 exp.DataType.Type.NVARCHAR: "NVARCHAR2", -115 exp.DataType.Type.TEXT: "CLOB", -116 exp.DataType.Type.BINARY: "BLOB", -117 exp.DataType.Type.VARBINARY: "BLOB", -118 } -119 -120 TRANSFORMS = { -121 **generator.Generator.TRANSFORMS, # type: ignore -122 **transforms.UNALIAS_GROUP, # type: ignore -123 exp.DateStrToDate: lambda self, e: self.func( -124 "TO_DATE", e.this, exp.Literal.string("YYYY-MM-DD") -125 ), -126 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", -127 exp.ILike: no_ilike_sql, -128 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -129 exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "), -130 exp.Substring: rename_func("SUBSTR"), -131 exp.Table: lambda self, e: self.table_sql(e, sep=" "), -132 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -133 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -134 exp.Trim: trim_sql, -135 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", -136 exp.IfNull: rename_func("NVL"), -137 } -138 -139 PROPERTIES_LOCATION = { -140 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -141 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -142 } -143 -144 LIMIT_FETCH = "FETCH" -145 -146 def offset_sql(self, expression: exp.Offset) -> str: -147 return f"{super().offset_sql(expression)} ROWS" -148 -149 def column_sql(self, expression: exp.Column) -> str: -150 column = super().column_sql(expression) -151 return f"{column} (+)" if expression.args.get("join_mark") else column -152 -153 def xmltable_sql(self, expression: exp.XMLTable) -> str: -154 this = self.sql(expression, "this") -155 passing = self.expressions(expression, key="passing") -156 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" -157 columns = self.expressions(expression, key="columns") -158 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" -159 by_ref = ( -160 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" -161 ) -162 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" -163 -164 class Tokenizer(tokens.Tokenizer): -165 KEYWORDS = { -166 **tokens.Tokenizer.KEYWORDS, -167 "(+)": TokenType.JOIN_MARKER, -168 "COLUMNS": TokenType.COLUMN, -169 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, -170 "MINUS": TokenType.EXCEPT, -171 "NVARCHAR2": TokenType.NVARCHAR, -172 "RETURNING": TokenType.RETURNING, -173 "START": TokenType.BEGIN, -174 "TOP": TokenType.TOP, -175 "VARCHAR2": TokenType.VARCHAR, -176 } + 37 alias_post_tablesample = True + 38 + 39 # https://docs.oracle.com/database/121/SQLRF/sql_elements004.htm#SQLRF00212 + 40 # https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes + 41 time_mapping = { + 42 "AM": "%p", # Meridian indicator with or without periods + 43 "A.M.": "%p", # Meridian indicator with or without periods + 44 "PM": "%p", # Meridian indicator with or without periods + 45 "P.M.": "%p", # Meridian indicator with or without periods + 46 "D": "%u", # Day of week (1-7) + 47 "DAY": "%A", # name of day + 48 "DD": "%d", # day of month (1-31) + 49 "DDD": "%j", # day of year (1-366) + 50 "DY": "%a", # abbreviated name of day + 51 "HH": "%I", # Hour of day (1-12) + 52 "HH12": "%I", # alias for HH + 53 "HH24": "%H", # Hour of day (0-23) + 54 "IW": "%V", # Calendar week of year (1-52 or 1-53), as defined by the ISO 8601 standard + 55 "MI": "%M", # Minute (0-59) + 56 "MM": "%m", # Month (01-12; January = 01) + 57 "MON": "%b", # Abbreviated name of month + 58 "MONTH": "%B", # Name of month + 59 "SS": "%S", # Second (0-59) + 60 "WW": "%W", # Week of year (1-53) + 61 "YY": "%y", # 15 + 62 "YYYY": "%Y", # 2015 + 63 } + 64 + 65 class Parser(parser.Parser): + 66 WINDOW_BEFORE_PAREN_TOKENS = {TokenType.OVER, TokenType.KEEP} + 67 + 68 FUNCTIONS = { + 69 **parser.Parser.FUNCTIONS, # type: ignore + 70 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), + 71 } + 72 + 73 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { + 74 **parser.Parser.FUNCTION_PARSERS, + 75 "XMLTABLE": _parse_xml_table, + 76 } + 77 + 78 TYPE_LITERAL_PARSERS = { + 79 exp.DataType.Type.DATE: lambda self, this, _: self.expression( + 80 exp.DateStrToDate, this=this + 81 ) + 82 } + 83 + 84 def _parse_column(self) -> t.Optional[exp.Expression]: + 85 column = super()._parse_column() + 86 if column: + 87 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) + 88 return column + 89 + 90 def _parse_hint(self) -> t.Optional[exp.Expression]: + 91 if self._match(TokenType.HINT): + 92 start = self._curr + 93 while self._curr and not self._match_pair(TokenType.STAR, TokenType.SLASH): + 94 self._advance() + 95 + 96 if not self._curr: + 97 self.raise_error("Expected */ after HINT") + 98 + 99 end = self._tokens[self._index - 3] +100 return exp.Hint(expressions=[self._find_sql(start, end)]) +101 +102 return None +103 +104 class Generator(generator.Generator): +105 LOCKING_READS_SUPPORTED = True +106 JOIN_HINTS = False +107 TABLE_HINTS = False +108 +109 TYPE_MAPPING = { +110 **generator.Generator.TYPE_MAPPING, # type: ignore +111 exp.DataType.Type.TINYINT: "NUMBER", +112 exp.DataType.Type.SMALLINT: "NUMBER", +113 exp.DataType.Type.INT: "NUMBER", +114 exp.DataType.Type.BIGINT: "NUMBER", +115 exp.DataType.Type.DECIMAL: "NUMBER", +116 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +117 exp.DataType.Type.VARCHAR: "VARCHAR2", +118 exp.DataType.Type.NVARCHAR: "NVARCHAR2", +119 exp.DataType.Type.TEXT: "CLOB", +120 exp.DataType.Type.BINARY: "BLOB", +121 exp.DataType.Type.VARBINARY: "BLOB", +122 } +123 +124 TRANSFORMS = { +125 **generator.Generator.TRANSFORMS, # type: ignore +126 exp.DateStrToDate: lambda self, e: self.func( +127 "TO_DATE", e.this, exp.Literal.string("YYYY-MM-DD") +128 ), +129 exp.Group: transforms.preprocess([transforms.unalias_group]), +130 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", +131 exp.ILike: no_ilike_sql, +132 exp.IfNull: rename_func("NVL"), +133 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +134 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +135 exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "), +136 exp.Substring: rename_func("SUBSTR"), +137 exp.Table: lambda self, e: self.table_sql(e, sep=" "), +138 exp.TableSample: lambda self, e: self.tablesample_sql(e, sep=" "), +139 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +140 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +141 exp.Trim: trim_sql, +142 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", +143 } +144 +145 PROPERTIES_LOCATION = { +146 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +147 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +148 } +149 +150 LIMIT_FETCH = "FETCH" +151 +152 def offset_sql(self, expression: exp.Offset) -> str: +153 return f"{super().offset_sql(expression)} ROWS" +154 +155 def column_sql(self, expression: exp.Column) -> str: +156 column = super().column_sql(expression) +157 return f"{column} (+)" if expression.args.get("join_mark") else column +158 +159 def xmltable_sql(self, expression: exp.XMLTable) -> str: +160 this = self.sql(expression, "this") +161 passing = self.expressions(expression, key="passing") +162 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" +163 columns = self.expressions(expression, key="columns") +164 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" +165 by_ref = ( +166 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" +167 ) +168 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" +169 +170 class Tokenizer(tokens.Tokenizer): +171 VAR_SINGLE_TOKENS = {"@"} +172 +173 KEYWORDS = { +174 **tokens.Tokenizer.KEYWORDS, +175 "(+)": TokenType.JOIN_MARKER, +176 "BINARY_DOUBLE": TokenType.DOUBLE, +177 "BINARY_FLOAT": TokenType.FLOAT, +178 "COLUMNS": TokenType.COLUMN, +179 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, +180 "MINUS": TokenType.EXCEPT, +181 "NVARCHAR2": TokenType.NVARCHAR, +182 "RETURNING": TokenType.RETURNING, +183 "SAMPLE": TokenType.TABLE_SAMPLE, +184 "START": TokenType.BEGIN, +185 "TOP": TokenType.TOP, +186 "VARCHAR2": TokenType.VARCHAR, +187 }
37class Oracle(Dialect): - 38 # https://docs.oracle.com/database/121/SQLRF/sql_elements004.htm#SQLRF00212 - 39 # https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes - 40 time_mapping = { - 41 "AM": "%p", # Meridian indicator with or without periods - 42 "A.M.": "%p", # Meridian indicator with or without periods - 43 "PM": "%p", # Meridian indicator with or without periods - 44 "P.M.": "%p", # Meridian indicator with or without periods - 45 "D": "%u", # Day of week (1-7) - 46 "DAY": "%A", # name of day - 47 "DD": "%d", # day of month (1-31) - 48 "DDD": "%j", # day of year (1-366) - 49 "DY": "%a", # abbreviated name of day - 50 "HH": "%I", # Hour of day (1-12) - 51 "HH12": "%I", # alias for HH - 52 "HH24": "%H", # Hour of day (0-23) - 53 "IW": "%V", # Calendar week of year (1-52 or 1-53), as defined by the ISO 8601 standard - 54 "MI": "%M", # Minute (0-59) - 55 "MM": "%m", # Month (01-12; January = 01) - 56 "MON": "%b", # Abbreviated name of month - 57 "MONTH": "%B", # Name of month - 58 "SS": "%S", # Second (0-59) - 59 "WW": "%W", # Week of year (1-53) - 60 "YY": "%y", # 15 - 61 "YYYY": "%Y", # 2015 - 62 } - 63 - 64 class Parser(parser.Parser): - 65 FUNCTIONS = { - 66 **parser.Parser.FUNCTIONS, # type: ignore - 67 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), - 68 } - 69 - 70 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { - 71 **parser.Parser.FUNCTION_PARSERS, - 72 "XMLTABLE": _parse_xml_table, - 73 } - 74 - 75 TYPE_LITERAL_PARSERS = { - 76 exp.DataType.Type.DATE: lambda self, this, _: self.expression( - 77 exp.DateStrToDate, this=this - 78 ) - 79 } - 80 - 81 def _parse_column(self) -> t.Optional[exp.Expression]: - 82 column = super()._parse_column() - 83 if column: - 84 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) - 85 return column - 86 - 87 def _parse_hint(self) -> t.Optional[exp.Expression]: - 88 if self._match(TokenType.HINT): - 89 start = self._curr - 90 while self._curr and not self._match_pair(TokenType.STAR, TokenType.SLASH): - 91 self._advance() - 92 - 93 if not self._curr: - 94 self.raise_error("Expected */ after HINT") - 95 - 96 end = self._tokens[self._index - 3] - 97 return exp.Hint(expressions=[self._find_sql(start, end)]) - 98 - 99 return None -100 -101 class Generator(generator.Generator): -102 LOCKING_READS_SUPPORTED = True -103 JOIN_HINTS = False -104 TABLE_HINTS = False -105 -106 TYPE_MAPPING = { -107 **generator.Generator.TYPE_MAPPING, # type: ignore -108 exp.DataType.Type.TINYINT: "NUMBER", -109 exp.DataType.Type.SMALLINT: "NUMBER", -110 exp.DataType.Type.INT: "NUMBER", -111 exp.DataType.Type.BIGINT: "NUMBER", -112 exp.DataType.Type.DECIMAL: "NUMBER", -113 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", -114 exp.DataType.Type.VARCHAR: "VARCHAR2", -115 exp.DataType.Type.NVARCHAR: "NVARCHAR2", -116 exp.DataType.Type.TEXT: "CLOB", -117 exp.DataType.Type.BINARY: "BLOB", -118 exp.DataType.Type.VARBINARY: "BLOB", -119 } -120 -121 TRANSFORMS = { -122 **generator.Generator.TRANSFORMS, # type: ignore -123 **transforms.UNALIAS_GROUP, # type: ignore -124 exp.DateStrToDate: lambda self, e: self.func( -125 "TO_DATE", e.this, exp.Literal.string("YYYY-MM-DD") -126 ), -127 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", -128 exp.ILike: no_ilike_sql, -129 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -130 exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "), -131 exp.Substring: rename_func("SUBSTR"), -132 exp.Table: lambda self, e: self.table_sql(e, sep=" "), -133 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -134 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -135 exp.Trim: trim_sql, -136 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", -137 exp.IfNull: rename_func("NVL"), -138 } -139 -140 PROPERTIES_LOCATION = { -141 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -142 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -143 } -144 -145 LIMIT_FETCH = "FETCH" -146 -147 def offset_sql(self, expression: exp.Offset) -> str: -148 return f"{super().offset_sql(expression)} ROWS" -149 -150 def column_sql(self, expression: exp.Column) -> str: -151 column = super().column_sql(expression) -152 return f"{column} (+)" if expression.args.get("join_mark") else column -153 -154 def xmltable_sql(self, expression: exp.XMLTable) -> str: -155 this = self.sql(expression, "this") -156 passing = self.expressions(expression, key="passing") -157 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" -158 columns = self.expressions(expression, key="columns") -159 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" -160 by_ref = ( -161 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" -162 ) -163 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" -164 -165 class Tokenizer(tokens.Tokenizer): -166 KEYWORDS = { -167 **tokens.Tokenizer.KEYWORDS, -168 "(+)": TokenType.JOIN_MARKER, -169 "COLUMNS": TokenType.COLUMN, -170 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, -171 "MINUS": TokenType.EXCEPT, -172 "NVARCHAR2": TokenType.NVARCHAR, -173 "RETURNING": TokenType.RETURNING, -174 "START": TokenType.BEGIN, -175 "TOP": TokenType.TOP, -176 "VARCHAR2": TokenType.VARCHAR, -177 } + 38 alias_post_tablesample = True + 39 + 40 # https://docs.oracle.com/database/121/SQLRF/sql_elements004.htm#SQLRF00212 + 41 # https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes + 42 time_mapping = { + 43 "AM": "%p", # Meridian indicator with or without periods + 44 "A.M.": "%p", # Meridian indicator with or without periods + 45 "PM": "%p", # Meridian indicator with or without periods + 46 "P.M.": "%p", # Meridian indicator with or without periods + 47 "D": "%u", # Day of week (1-7) + 48 "DAY": "%A", # name of day + 49 "DD": "%d", # day of month (1-31) + 50 "DDD": "%j", # day of year (1-366) + 51 "DY": "%a", # abbreviated name of day + 52 "HH": "%I", # Hour of day (1-12) + 53 "HH12": "%I", # alias for HH + 54 "HH24": "%H", # Hour of day (0-23) + 55 "IW": "%V", # Calendar week of year (1-52 or 1-53), as defined by the ISO 8601 standard + 56 "MI": "%M", # Minute (0-59) + 57 "MM": "%m", # Month (01-12; January = 01) + 58 "MON": "%b", # Abbreviated name of month + 59 "MONTH": "%B", # Name of month + 60 "SS": "%S", # Second (0-59) + 61 "WW": "%W", # Week of year (1-53) + 62 "YY": "%y", # 15 + 63 "YYYY": "%Y", # 2015 + 64 } + 65 + 66 class Parser(parser.Parser): + 67 WINDOW_BEFORE_PAREN_TOKENS = {TokenType.OVER, TokenType.KEEP} + 68 + 69 FUNCTIONS = { + 70 **parser.Parser.FUNCTIONS, # type: ignore + 71 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), + 72 } + 73 + 74 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { + 75 **parser.Parser.FUNCTION_PARSERS, + 76 "XMLTABLE": _parse_xml_table, + 77 } + 78 + 79 TYPE_LITERAL_PARSERS = { + 80 exp.DataType.Type.DATE: lambda self, this, _: self.expression( + 81 exp.DateStrToDate, this=this + 82 ) + 83 } + 84 + 85 def _parse_column(self) -> t.Optional[exp.Expression]: + 86 column = super()._parse_column() + 87 if column: + 88 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) + 89 return column + 90 + 91 def _parse_hint(self) -> t.Optional[exp.Expression]: + 92 if self._match(TokenType.HINT): + 93 start = self._curr + 94 while self._curr and not self._match_pair(TokenType.STAR, TokenType.SLASH): + 95 self._advance() + 96 + 97 if not self._curr: + 98 self.raise_error("Expected */ after HINT") + 99 +100 end = self._tokens[self._index - 3] +101 return exp.Hint(expressions=[self._find_sql(start, end)]) +102 +103 return None +104 +105 class Generator(generator.Generator): +106 LOCKING_READS_SUPPORTED = True +107 JOIN_HINTS = False +108 TABLE_HINTS = False +109 +110 TYPE_MAPPING = { +111 **generator.Generator.TYPE_MAPPING, # type: ignore +112 exp.DataType.Type.TINYINT: "NUMBER", +113 exp.DataType.Type.SMALLINT: "NUMBER", +114 exp.DataType.Type.INT: "NUMBER", +115 exp.DataType.Type.BIGINT: "NUMBER", +116 exp.DataType.Type.DECIMAL: "NUMBER", +117 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +118 exp.DataType.Type.VARCHAR: "VARCHAR2", +119 exp.DataType.Type.NVARCHAR: "NVARCHAR2", +120 exp.DataType.Type.TEXT: "CLOB", +121 exp.DataType.Type.BINARY: "BLOB", +122 exp.DataType.Type.VARBINARY: "BLOB", +123 } +124 +125 TRANSFORMS = { +126 **generator.Generator.TRANSFORMS, # type: ignore +127 exp.DateStrToDate: lambda self, e: self.func( +128 "TO_DATE", e.this, exp.Literal.string("YYYY-MM-DD") +129 ), +130 exp.Group: transforms.preprocess([transforms.unalias_group]), +131 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", +132 exp.ILike: no_ilike_sql, +133 exp.IfNull: rename_func("NVL"), +134 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +135 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +136 exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "), +137 exp.Substring: rename_func("SUBSTR"), +138 exp.Table: lambda self, e: self.table_sql(e, sep=" "), +139 exp.TableSample: lambda self, e: self.tablesample_sql(e, sep=" "), +140 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +141 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +142 exp.Trim: trim_sql, +143 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", +144 } +145 +146 PROPERTIES_LOCATION = { +147 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +148 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +149 } +150 +151 LIMIT_FETCH = "FETCH" +152 +153 def offset_sql(self, expression: exp.Offset) -> str: +154 return f"{super().offset_sql(expression)} ROWS" +155 +156 def column_sql(self, expression: exp.Column) -> str: +157 column = super().column_sql(expression) +158 return f"{column} (+)" if expression.args.get("join_mark") else column +159 +160 def xmltable_sql(self, expression: exp.XMLTable) -> str: +161 this = self.sql(expression, "this") +162 passing = self.expressions(expression, key="passing") +163 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" +164 columns = self.expressions(expression, key="columns") +165 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" +166 by_ref = ( +167 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" +168 ) +169 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" +170 +171 class Tokenizer(tokens.Tokenizer): +172 VAR_SINGLE_TOKENS = {"@"} +173 +174 KEYWORDS = { +175 **tokens.Tokenizer.KEYWORDS, +176 "(+)": TokenType.JOIN_MARKER, +177 "BINARY_DOUBLE": TokenType.DOUBLE, +178 "BINARY_FLOAT": TokenType.FLOAT, +179 "COLUMNS": TokenType.COLUMN, +180 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, +181 "MINUS": TokenType.EXCEPT, +182 "NVARCHAR2": TokenType.NVARCHAR, +183 "RETURNING": TokenType.RETURNING, +184 "SAMPLE": TokenType.TABLE_SAMPLE, +185 "START": TokenType.BEGIN, +186 "TOP": TokenType.TOP, +187 "VARCHAR2": TokenType.VARCHAR, +188 }
64 class Parser(parser.Parser): -65 FUNCTIONS = { -66 **parser.Parser.FUNCTIONS, # type: ignore -67 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), -68 } -69 -70 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { -71 **parser.Parser.FUNCTION_PARSERS, -72 "XMLTABLE": _parse_xml_table, -73 } -74 -75 TYPE_LITERAL_PARSERS = { -76 exp.DataType.Type.DATE: lambda self, this, _: self.expression( -77 exp.DateStrToDate, this=this -78 ) -79 } -80 -81 def _parse_column(self) -> t.Optional[exp.Expression]: -82 column = super()._parse_column() -83 if column: -84 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) -85 return column -86 -87 def _parse_hint(self) -> t.Optional[exp.Expression]: -88 if self._match(TokenType.HINT): -89 start = self._curr -90 while self._curr and not self._match_pair(TokenType.STAR, TokenType.SLASH): -91 self._advance() -92 -93 if not self._curr: -94 self.raise_error("Expected */ after HINT") -95 -96 end = self._tokens[self._index - 3] -97 return exp.Hint(expressions=[self._find_sql(start, end)]) -98 -99 return None +@@ -544,69 +568,71 @@ Default: "nulls_are_small"66 class Parser(parser.Parser): + 67 WINDOW_BEFORE_PAREN_TOKENS = {TokenType.OVER, TokenType.KEEP} + 68 + 69 FUNCTIONS = { + 70 **parser.Parser.FUNCTIONS, # type: ignore + 71 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), + 72 } + 73 + 74 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { + 75 **parser.Parser.FUNCTION_PARSERS, + 76 "XMLTABLE": _parse_xml_table, + 77 } + 78 + 79 TYPE_LITERAL_PARSERS = { + 80 exp.DataType.Type.DATE: lambda self, this, _: self.expression( + 81 exp.DateStrToDate, this=this + 82 ) + 83 } + 84 + 85 def _parse_column(self) -> t.Optional[exp.Expression]: + 86 column = super()._parse_column() + 87 if column: + 88 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) + 89 return column + 90 + 91 def _parse_hint(self) -> t.Optional[exp.Expression]: + 92 if self._match(TokenType.HINT): + 93 start = self._curr + 94 while self._curr and not self._match_pair(TokenType.STAR, TokenType.SLASH): + 95 self._advance() + 96 + 97 if not self._curr: + 98 self.raise_error("Expected */ after HINT") + 99 +100 end = self._tokens[self._index - 3] +101 return exp.Hint(expressions=[self._find_sql(start, end)]) +102 +103 return None
101 class Generator(generator.Generator): -102 LOCKING_READS_SUPPORTED = True -103 JOIN_HINTS = False -104 TABLE_HINTS = False -105 -106 TYPE_MAPPING = { -107 **generator.Generator.TYPE_MAPPING, # type: ignore -108 exp.DataType.Type.TINYINT: "NUMBER", -109 exp.DataType.Type.SMALLINT: "NUMBER", -110 exp.DataType.Type.INT: "NUMBER", -111 exp.DataType.Type.BIGINT: "NUMBER", -112 exp.DataType.Type.DECIMAL: "NUMBER", -113 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", -114 exp.DataType.Type.VARCHAR: "VARCHAR2", -115 exp.DataType.Type.NVARCHAR: "NVARCHAR2", -116 exp.DataType.Type.TEXT: "CLOB", -117 exp.DataType.Type.BINARY: "BLOB", -118 exp.DataType.Type.VARBINARY: "BLOB", -119 } -120 -121 TRANSFORMS = { -122 **generator.Generator.TRANSFORMS, # type: ignore -123 **transforms.UNALIAS_GROUP, # type: ignore -124 exp.DateStrToDate: lambda self, e: self.func( -125 "TO_DATE", e.this, exp.Literal.string("YYYY-MM-DD") -126 ), -127 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", -128 exp.ILike: no_ilike_sql, -129 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -130 exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "), -131 exp.Substring: rename_func("SUBSTR"), -132 exp.Table: lambda self, e: self.table_sql(e, sep=" "), -133 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -134 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -135 exp.Trim: trim_sql, -136 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", -137 exp.IfNull: rename_func("NVL"), -138 } -139 -140 PROPERTIES_LOCATION = { -141 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -142 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -143 } -144 -145 LIMIT_FETCH = "FETCH" -146 -147 def offset_sql(self, expression: exp.Offset) -> str: -148 return f"{super().offset_sql(expression)} ROWS" -149 -150 def column_sql(self, expression: exp.Column) -> str: -151 column = super().column_sql(expression) -152 return f"{column} (+)" if expression.args.get("join_mark") else column -153 -154 def xmltable_sql(self, expression: exp.XMLTable) -> str: -155 this = self.sql(expression, "this") -156 passing = self.expressions(expression, key="passing") -157 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" -158 columns = self.expressions(expression, key="columns") -159 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" -160 by_ref = ( -161 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" -162 ) -163 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" +@@ -665,8 +691,8 @@ Default: True105 class Generator(generator.Generator): +106 LOCKING_READS_SUPPORTED = True +107 JOIN_HINTS = False +108 TABLE_HINTS = False +109 +110 TYPE_MAPPING = { +111 **generator.Generator.TYPE_MAPPING, # type: ignore +112 exp.DataType.Type.TINYINT: "NUMBER", +113 exp.DataType.Type.SMALLINT: "NUMBER", +114 exp.DataType.Type.INT: "NUMBER", +115 exp.DataType.Type.BIGINT: "NUMBER", +116 exp.DataType.Type.DECIMAL: "NUMBER", +117 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +118 exp.DataType.Type.VARCHAR: "VARCHAR2", +119 exp.DataType.Type.NVARCHAR: "NVARCHAR2", +120 exp.DataType.Type.TEXT: "CLOB", +121 exp.DataType.Type.BINARY: "BLOB", +122 exp.DataType.Type.VARBINARY: "BLOB", +123 } +124 +125 TRANSFORMS = { +126 **generator.Generator.TRANSFORMS, # type: ignore +127 exp.DateStrToDate: lambda self, e: self.func( +128 "TO_DATE", e.this, exp.Literal.string("YYYY-MM-DD") +129 ), +130 exp.Group: transforms.preprocess([transforms.unalias_group]), +131 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", +132 exp.ILike: no_ilike_sql, +133 exp.IfNull: rename_func("NVL"), +134 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +135 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +136 exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "), +137 exp.Substring: rename_func("SUBSTR"), +138 exp.Table: lambda self, e: self.table_sql(e, sep=" "), +139 exp.TableSample: lambda self, e: self.tablesample_sql(e, sep=" "), +140 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +141 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +142 exp.Trim: trim_sql, +143 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", +144 } +145 +146 PROPERTIES_LOCATION = { +147 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +148 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +149 } +150 +151 LIMIT_FETCH = "FETCH" +152 +153 def offset_sql(self, expression: exp.Offset) -> str: +154 return f"{super().offset_sql(expression)} ROWS" +155 +156 def column_sql(self, expression: exp.Column) -> str: +157 column = super().column_sql(expression) +158 return f"{column} (+)" if expression.args.get("join_mark") else column +159 +160 def xmltable_sql(self, expression: exp.XMLTable) -> str: +161 this = self.sql(expression, "this") +162 passing = self.expressions(expression, key="passing") +163 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" +164 columns = self.expressions(expression, key="columns") +165 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" +166 by_ref = ( +167 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" +168 ) +169 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}"
147 def offset_sql(self, expression: exp.Offset) -> str: -148 return f"{super().offset_sql(expression)} ROWS" + @@ -684,9 +710,9 @@ Default: True
150 def column_sql(self, expression: exp.Column) -> str: -151 column = super().column_sql(expression) -152 return f"{column} (+)" if expression.args.get("join_mark") else column + @@ -704,16 +730,16 @@ Default: True
154 def xmltable_sql(self, expression: exp.XMLTable) -> str: -155 this = self.sql(expression, "this") -156 passing = self.expressions(expression, key="passing") -157 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" -158 columns = self.expressions(expression, key="columns") -159 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" -160 by_ref = ( -161 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" -162 ) -163 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" +@@ -842,7 +868,7 @@ Default: True160 def xmltable_sql(self, expression: exp.XMLTable) -> str: +161 this = self.sql(expression, "this") +162 passing = self.expressions(expression, key="passing") +163 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" +164 columns = self.expressions(expression, key="columns") +165 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" +166 by_ref = ( +167 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" +168 ) +169 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}"where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -851,6 +877,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql @@ -962,19 +989,24 @@ Default: True
165 class Tokenizer(tokens.Tokenizer): -166 KEYWORDS = { -167 **tokens.Tokenizer.KEYWORDS, -168 "(+)": TokenType.JOIN_MARKER, -169 "COLUMNS": TokenType.COLUMN, -170 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, -171 "MINUS": TokenType.EXCEPT, -172 "NVARCHAR2": TokenType.NVARCHAR, -173 "RETURNING": TokenType.RETURNING, -174 "START": TokenType.BEGIN, -175 "TOP": TokenType.TOP, -176 "VARCHAR2": TokenType.VARCHAR, -177 } +diff --git a/docs/sqlglot/dialects/postgres.html b/docs/sqlglot/dialects/postgres.html index 9eb542b..a322f4e 100644 --- a/docs/sqlglot/dialects/postgres.html +++ b/docs/sqlglot/dialects/postgres.html @@ -79,7 +79,7 @@171 class Tokenizer(tokens.Tokenizer): +172 VAR_SINGLE_TOKENS = {"@"} +173 +174 KEYWORDS = { +175 **tokens.Tokenizer.KEYWORDS, +176 "(+)": TokenType.JOIN_MARKER, +177 "BINARY_DOUBLE": TokenType.DOUBLE, +178 "BINARY_FLOAT": TokenType.FLOAT, +179 "COLUMNS": TokenType.COLUMN, +180 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, +181 "MINUS": TokenType.EXCEPT, +182 "NVARCHAR2": TokenType.NVARCHAR, +183 "RETURNING": TokenType.RETURNING, +184 "SAMPLE": TokenType.TABLE_SAMPLE, +185 "START": TokenType.BEGIN, +186 "TOP": TokenType.TOP, +187 "VARCHAR2": TokenType.VARCHAR, +188 }@@ -461,197 +460,197 @@1from __future__ import annotations 2 - 3from sqlglot import exp, generator, parser, tokens + 3from sqlglot import exp, generator, parser, tokens, transforms 4from sqlglot.dialects.dialect import ( 5 Dialect, 6 arrow_json_extract_scalar_sql, @@ -99,353 +99,352 @@ 20from sqlglot.helper import seq_get 21from sqlglot.parser import binary_range_parser 22from sqlglot.tokens import TokenType - 23from sqlglot.transforms import preprocess, remove_target_from_merge - 24 - 25DATE_DIFF_FACTOR = { - 26 "MICROSECOND": " * 1000000", - 27 "MILLISECOND": " * 1000", - 28 "SECOND": "", - 29 "MINUTE": " / 60", - 30 "HOUR": " / 3600", - 31 "DAY": " / 86400", - 32} + 23 + 24DATE_DIFF_FACTOR = { + 25 "MICROSECOND": " * 1000000", + 26 "MILLISECOND": " * 1000", + 27 "SECOND": "", + 28 "MINUTE": " / 60", + 29 "HOUR": " / 3600", + 30 "DAY": " / 86400", + 31} + 32 33 - 34 - 35def _date_add_sql(kind): - 36 def func(self, expression): - 37 from sqlglot.optimizer.simplify import simplify - 38 - 39 this = self.sql(expression, "this") - 40 unit = expression.args.get("unit") - 41 expression = simplify(expression.args["expression"]) - 42 - 43 if not isinstance(expression, exp.Literal): - 44 self.unsupported("Cannot add non literal") - 45 - 46 expression = expression.copy() - 47 expression.args["is_string"] = True - 48 return f"{this} {kind} {self.sql(exp.Interval(this=expression, unit=unit))}" - 49 - 50 return func + 34def _date_add_sql(kind): + 35 def func(self, expression): + 36 from sqlglot.optimizer.simplify import simplify + 37 + 38 this = self.sql(expression, "this") + 39 unit = expression.args.get("unit") + 40 expression = simplify(expression.args["expression"]) + 41 + 42 if not isinstance(expression, exp.Literal): + 43 self.unsupported("Cannot add non literal") + 44 + 45 expression = expression.copy() + 46 expression.args["is_string"] = True + 47 return f"{this} {kind} {self.sql(exp.Interval(this=expression, unit=unit))}" + 48 + 49 return func + 50 51 - 52 - 53def _date_diff_sql(self, expression): - 54 unit = expression.text("unit").upper() - 55 factor = DATE_DIFF_FACTOR.get(unit) - 56 - 57 end = f"CAST({expression.this} AS TIMESTAMP)" - 58 start = f"CAST({expression.expression} AS TIMESTAMP)" - 59 - 60 if factor is not None: - 61 return f"CAST(EXTRACT(epoch FROM {end} - {start}){factor} AS BIGINT)" - 62 - 63 age = f"AGE({end}, {start})" - 64 - 65 if unit == "WEEK": - 66 unit = f"EXTRACT(year FROM {age}) * 48 + EXTRACT(month FROM {age}) * 4 + EXTRACT(day FROM {age}) / 7" - 67 elif unit == "MONTH": - 68 unit = f"EXTRACT(year FROM {age}) * 12 + EXTRACT(month FROM {age})" - 69 elif unit == "QUARTER": - 70 unit = f"EXTRACT(year FROM {age}) * 4 + EXTRACT(month FROM {age}) / 3" - 71 elif unit == "YEAR": - 72 unit = f"EXTRACT(year FROM {age})" - 73 else: - 74 unit = age - 75 - 76 return f"CAST({unit} AS BIGINT)" + 52def _date_diff_sql(self, expression): + 53 unit = expression.text("unit").upper() + 54 factor = DATE_DIFF_FACTOR.get(unit) + 55 + 56 end = f"CAST({expression.this} AS TIMESTAMP)" + 57 start = f"CAST({expression.expression} AS TIMESTAMP)" + 58 + 59 if factor is not None: + 60 return f"CAST(EXTRACT(epoch FROM {end} - {start}){factor} AS BIGINT)" + 61 + 62 age = f"AGE({end}, {start})" + 63 + 64 if unit == "WEEK": + 65 unit = f"EXTRACT(year FROM {age}) * 48 + EXTRACT(month FROM {age}) * 4 + EXTRACT(day FROM {age}) / 7" + 66 elif unit == "MONTH": + 67 unit = f"EXTRACT(year FROM {age}) * 12 + EXTRACT(month FROM {age})" + 68 elif unit == "QUARTER": + 69 unit = f"EXTRACT(year FROM {age}) * 4 + EXTRACT(month FROM {age}) / 3" + 70 elif unit == "YEAR": + 71 unit = f"EXTRACT(year FROM {age})" + 72 else: + 73 unit = age + 74 + 75 return f"CAST({unit} AS BIGINT)" + 76 77 - 78 - 79def _substring_sql(self, expression): - 80 this = self.sql(expression, "this") - 81 start = self.sql(expression, "start") - 82 length = self.sql(expression, "length") - 83 - 84 from_part = f" FROM {start}" if start else "" - 85 for_part = f" FOR {length}" if length else "" - 86 - 87 return f"SUBSTRING({this}{from_part}{for_part})" + 78def _substring_sql(self, expression): + 79 this = self.sql(expression, "this") + 80 start = self.sql(expression, "start") + 81 length = self.sql(expression, "length") + 82 + 83 from_part = f" FROM {start}" if start else "" + 84 for_part = f" FOR {length}" if length else "" + 85 + 86 return f"SUBSTRING({this}{from_part}{for_part})" + 87 88 - 89 - 90def _string_agg_sql(self, expression): - 91 expression = expression.copy() - 92 separator = expression.args.get("separator") or exp.Literal.string(",") - 93 - 94 order = "" - 95 this = expression.this - 96 if isinstance(this, exp.Order): - 97 if this.this: - 98 this = this.this.pop() - 99 order = self.sql(expression.this) # Order has a leading space -100 -101 return f"STRING_AGG({self.format_args(this, separator)}{order})" + 89def _string_agg_sql(self, expression): + 90 expression = expression.copy() + 91 separator = expression.args.get("separator") or exp.Literal.string(",") + 92 + 93 order = "" + 94 this = expression.this + 95 if isinstance(this, exp.Order): + 96 if this.this: + 97 this = this.this.pop() + 98 order = self.sql(expression.this) # Order has a leading space + 99 +100 return f"STRING_AGG({self.format_args(this, separator)}{order})" +101 102 -103 -104def _datatype_sql(self, expression): -105 if expression.this == exp.DataType.Type.ARRAY: -106 return f"{self.expressions(expression, flat=True)}[]" -107 return self.datatype_sql(expression) +103def _datatype_sql(self, expression): +104 if expression.this == exp.DataType.Type.ARRAY: +105 return f"{self.expressions(expression, flat=True)}[]" +106 return self.datatype_sql(expression) +107 108 -109 -110def _auto_increment_to_serial(expression): -111 auto = expression.find(exp.AutoIncrementColumnConstraint) -112 -113 if auto: -114 expression = expression.copy() -115 expression.args["constraints"].remove(auto.parent) -116 kind = expression.args["kind"] -117 -118 if kind.this == exp.DataType.Type.INT: -119 kind.replace(exp.DataType(this=exp.DataType.Type.SERIAL)) -120 elif kind.this == exp.DataType.Type.SMALLINT: -121 kind.replace(exp.DataType(this=exp.DataType.Type.SMALLSERIAL)) -122 elif kind.this == exp.DataType.Type.BIGINT: -123 kind.replace(exp.DataType(this=exp.DataType.Type.BIGSERIAL)) -124 -125 return expression +109def _auto_increment_to_serial(expression): +110 auto = expression.find(exp.AutoIncrementColumnConstraint) +111 +112 if auto: +113 expression = expression.copy() +114 expression.args["constraints"].remove(auto.parent) +115 kind = expression.args["kind"] +116 +117 if kind.this == exp.DataType.Type.INT: +118 kind.replace(exp.DataType(this=exp.DataType.Type.SERIAL)) +119 elif kind.this == exp.DataType.Type.SMALLINT: +120 kind.replace(exp.DataType(this=exp.DataType.Type.SMALLSERIAL)) +121 elif kind.this == exp.DataType.Type.BIGINT: +122 kind.replace(exp.DataType(this=exp.DataType.Type.BIGSERIAL)) +123 +124 return expression +125 126 -127 -128def _serial_to_generated(expression): -129 kind = expression.args["kind"] -130 -131 if kind.this == exp.DataType.Type.SERIAL: -132 data_type = exp.DataType(this=exp.DataType.Type.INT) -133 elif kind.this == exp.DataType.Type.SMALLSERIAL: -134 data_type = exp.DataType(this=exp.DataType.Type.SMALLINT) -135 elif kind.this == exp.DataType.Type.BIGSERIAL: -136 data_type = exp.DataType(this=exp.DataType.Type.BIGINT) -137 else: -138 data_type = None -139 -140 if data_type: -141 expression = expression.copy() -142 expression.args["kind"].replace(data_type) -143 constraints = expression.args["constraints"] -144 generated = exp.ColumnConstraint(kind=exp.GeneratedAsIdentityColumnConstraint(this=False)) -145 notnull = exp.ColumnConstraint(kind=exp.NotNullColumnConstraint()) -146 if notnull not in constraints: -147 constraints.insert(0, notnull) -148 if generated not in constraints: -149 constraints.insert(0, generated) -150 -151 return expression +127def _serial_to_generated(expression): +128 kind = expression.args["kind"] +129 +130 if kind.this == exp.DataType.Type.SERIAL: +131 data_type = exp.DataType(this=exp.DataType.Type.INT) +132 elif kind.this == exp.DataType.Type.SMALLSERIAL: +133 data_type = exp.DataType(this=exp.DataType.Type.SMALLINT) +134 elif kind.this == exp.DataType.Type.BIGSERIAL: +135 data_type = exp.DataType(this=exp.DataType.Type.BIGINT) +136 else: +137 data_type = None +138 +139 if data_type: +140 expression = expression.copy() +141 expression.args["kind"].replace(data_type) +142 constraints = expression.args["constraints"] +143 generated = exp.ColumnConstraint(kind=exp.GeneratedAsIdentityColumnConstraint(this=False)) +144 notnull = exp.ColumnConstraint(kind=exp.NotNullColumnConstraint()) +145 if notnull not in constraints: +146 constraints.insert(0, notnull) +147 if generated not in constraints: +148 constraints.insert(0, generated) +149 +150 return expression +151 152 -153 -154def _generate_series(args): -155 # The goal is to convert step values like '1 day' or INTERVAL '1 day' into INTERVAL '1' day -156 step = seq_get(args, 2) -157 -158 if step is None: -159 # Postgres allows calls with just two arguments -- the "step" argument defaults to 1 -160 return exp.GenerateSeries.from_arg_list(args) -161 -162 if step.is_string: -163 args[2] = exp.to_interval(step.this) -164 elif isinstance(step, exp.Interval) and not step.args.get("unit"): -165 args[2] = exp.to_interval(step.this.this) -166 -167 return exp.GenerateSeries.from_arg_list(args) +153def _generate_series(args): +154 # The goal is to convert step values like '1 day' or INTERVAL '1 day' into INTERVAL '1' day +155 step = seq_get(args, 2) +156 +157 if step is None: +158 # Postgres allows calls with just two arguments -- the "step" argument defaults to 1 +159 return exp.GenerateSeries.from_arg_list(args) +160 +161 if step.is_string: +162 args[2] = exp.to_interval(step.this) +163 elif isinstance(step, exp.Interval) and not step.args.get("unit"): +164 args[2] = exp.to_interval(step.this.this) +165 +166 return exp.GenerateSeries.from_arg_list(args) +167 168 -169 -170def _to_timestamp(args): -171 # TO_TIMESTAMP accepts either a single double argument or (text, text) -172 if len(args) == 1: -173 # https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-TABLE -174 return exp.UnixToTime.from_arg_list(args) -175 # https://www.postgresql.org/docs/current/functions-formatting.html -176 return format_time_lambda(exp.StrToTime, "postgres")(args) +169def _to_timestamp(args): +170 # TO_TIMESTAMP accepts either a single double argument or (text, text) +171 if len(args) == 1: +172 # https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-TABLE +173 return exp.UnixToTime.from_arg_list(args) +174 # https://www.postgresql.org/docs/current/functions-formatting.html +175 return format_time_lambda(exp.StrToTime, "postgres")(args) +176 177 -178 -179class Postgres(Dialect): -180 null_ordering = "nulls_are_large" -181 time_format = "'YYYY-MM-DD HH24:MI:SS'" -182 time_mapping = { -183 "AM": "%p", -184 "PM": "%p", -185 "D": "%u", # 1-based day of week -186 "DD": "%d", # day of month -187 "DDD": "%j", # zero padded day of year -188 "FMDD": "%-d", # - is no leading zero for Python; same for FM in postgres -189 "FMDDD": "%-j", # day of year -190 "FMHH12": "%-I", # 9 -191 "FMHH24": "%-H", # 9 -192 "FMMI": "%-M", # Minute -193 "FMMM": "%-m", # 1 -194 "FMSS": "%-S", # Second -195 "HH12": "%I", # 09 -196 "HH24": "%H", # 09 -197 "MI": "%M", # zero padded minute -198 "MM": "%m", # 01 -199 "OF": "%z", # utc offset -200 "SS": "%S", # zero padded second -201 "TMDay": "%A", # TM is locale dependent -202 "TMDy": "%a", -203 "TMMon": "%b", # Sep -204 "TMMonth": "%B", # September -205 "TZ": "%Z", # uppercase timezone name -206 "US": "%f", # zero padded microsecond -207 "WW": "%U", # 1-based week of year -208 "YY": "%y", # 15 -209 "YYYY": "%Y", # 2015 -210 } -211 -212 class Tokenizer(tokens.Tokenizer): -213 QUOTES = ["'", "$$"] -214 -215 BIT_STRINGS = [("b'", "'"), ("B'", "'")] -216 HEX_STRINGS = [("x'", "'"), ("X'", "'")] -217 BYTE_STRINGS = [("e'", "'"), ("E'", "'")] -218 -219 KEYWORDS = { -220 **tokens.Tokenizer.KEYWORDS, -221 "~~": TokenType.LIKE, -222 "~~*": TokenType.ILIKE, -223 "~*": TokenType.IRLIKE, -224 "~": TokenType.RLIKE, -225 "@>": TokenType.AT_GT, -226 "<@": TokenType.LT_AT, -227 "BEGIN": TokenType.COMMAND, -228 "BEGIN TRANSACTION": TokenType.BEGIN, -229 "BIGSERIAL": TokenType.BIGSERIAL, -230 "CHARACTER VARYING": TokenType.VARCHAR, -231 "DECLARE": TokenType.COMMAND, -232 "DO": TokenType.COMMAND, -233 "HSTORE": TokenType.HSTORE, -234 "JSONB": TokenType.JSONB, -235 "REFRESH": TokenType.COMMAND, -236 "REINDEX": TokenType.COMMAND, -237 "RESET": TokenType.COMMAND, -238 "RETURNING": TokenType.RETURNING, -239 "REVOKE": TokenType.COMMAND, -240 "SERIAL": TokenType.SERIAL, -241 "SMALLSERIAL": TokenType.SMALLSERIAL, -242 "TEMP": TokenType.TEMPORARY, -243 "CSTRING": TokenType.PSEUDO_TYPE, -244 } -245 -246 SINGLE_TOKENS = { -247 **tokens.Tokenizer.SINGLE_TOKENS, -248 "$": TokenType.PARAMETER, -249 } -250 -251 VAR_SINGLE_TOKENS = {"$"} -252 -253 class Parser(parser.Parser): -254 STRICT_CAST = False -255 -256 FUNCTIONS = { -257 **parser.Parser.FUNCTIONS, # type: ignore -258 "DATE_TRUNC": lambda args: exp.TimestampTrunc( -259 this=seq_get(args, 1), unit=seq_get(args, 0) -260 ), -261 "GENERATE_SERIES": _generate_series, -262 "NOW": exp.CurrentTimestamp.from_arg_list, -263 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), -264 "TO_TIMESTAMP": _to_timestamp, -265 } -266 -267 FUNCTION_PARSERS = { -268 **parser.Parser.FUNCTION_PARSERS, -269 "DATE_PART": lambda self: self._parse_date_part(), -270 } -271 -272 BITWISE = { -273 **parser.Parser.BITWISE, # type: ignore -274 TokenType.HASH: exp.BitwiseXor, -275 } -276 -277 FACTOR = { -278 **parser.Parser.FACTOR, -279 TokenType.CARET: exp.Pow, -280 } -281 -282 RANGE_PARSERS = { -283 **parser.Parser.RANGE_PARSERS, # type: ignore -284 TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps), -285 TokenType.AT_GT: binary_range_parser(exp.ArrayContains), -286 TokenType.LT_AT: binary_range_parser(exp.ArrayContained), -287 } -288 -289 def _parse_date_part(self) -> exp.Expression: -290 part = self._parse_type() -291 self._match(TokenType.COMMA) -292 value = self._parse_bitwise() -293 -294 if part and part.is_string: -295 part = exp.Var(this=part.name) -296 -297 return self.expression(exp.Extract, this=part, expression=value) -298 -299 class Generator(generator.Generator): -300 INTERVAL_ALLOWS_PLURAL_FORM = False -301 LOCKING_READS_SUPPORTED = True -302 JOIN_HINTS = False -303 TABLE_HINTS = False -304 PARAMETER_TOKEN = "$" -305 -306 TYPE_MAPPING = { -307 **generator.Generator.TYPE_MAPPING, # type: ignore -308 exp.DataType.Type.TINYINT: "SMALLINT", -309 exp.DataType.Type.FLOAT: "REAL", -310 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", -311 exp.DataType.Type.BINARY: "BYTEA", -312 exp.DataType.Type.VARBINARY: "BYTEA", -313 exp.DataType.Type.DATETIME: "TIMESTAMP", -314 } -315 -316 TRANSFORMS = { -317 **generator.Generator.TRANSFORMS, # type: ignore -318 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), -319 exp.ColumnDef: preprocess( -320 [ -321 _auto_increment_to_serial, -322 _serial_to_generated, -323 ], -324 ), -325 exp.JSONExtract: arrow_json_extract_sql, -326 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -327 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), -328 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), -329 exp.JSONBContains: lambda self, e: self.binary(e, "?"), -330 exp.Pow: lambda self, e: self.binary(e, "^"), -331 exp.CurrentDate: no_paren_current_date_sql, -332 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -333 exp.DateAdd: _date_add_sql("+"), -334 exp.DateStrToDate: datestrtodate_sql, -335 exp.DateSub: _date_add_sql("-"), -336 exp.DateDiff: _date_diff_sql, -337 exp.LogicalOr: rename_func("BOOL_OR"), -338 exp.LogicalAnd: rename_func("BOOL_AND"), -339 exp.Max: max_or_greatest, -340 exp.Min: min_or_least, -341 exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"), -342 exp.ArrayContains: lambda self, e: self.binary(e, "@>"), -343 exp.ArrayContained: lambda self, e: self.binary(e, "<@"), -344 exp.Merge: preprocess([remove_target_from_merge]), -345 exp.RegexpLike: lambda self, e: self.binary(e, "~"), -346 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), -347 exp.StrPosition: str_position_sql, -348 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -349 exp.Substring: _substring_sql, -350 exp.TimestampTrunc: timestamptrunc_sql, -351 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", -352 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -353 exp.TableSample: no_tablesample_sql, -354 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -355 exp.Trim: trim_sql, -356 exp.TryCast: no_trycast_sql, -357 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", -358 exp.DataType: _datatype_sql, -359 exp.GroupConcat: _string_agg_sql, -360 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" -361 if isinstance(seq_get(e.expressions, 0), exp.Select) -362 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", -363 } -364 -365 PROPERTIES_LOCATION = { -366 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -367 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, -368 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -369 } +178class Postgres(Dialect): +179 null_ordering = "nulls_are_large" +180 time_format = "'YYYY-MM-DD HH24:MI:SS'" +181 time_mapping = { +182 "AM": "%p", +183 "PM": "%p", +184 "D": "%u", # 1-based day of week +185 "DD": "%d", # day of month +186 "DDD": "%j", # zero padded day of year +187 "FMDD": "%-d", # - is no leading zero for Python; same for FM in postgres +188 "FMDDD": "%-j", # day of year +189 "FMHH12": "%-I", # 9 +190 "FMHH24": "%-H", # 9 +191 "FMMI": "%-M", # Minute +192 "FMMM": "%-m", # 1 +193 "FMSS": "%-S", # Second +194 "HH12": "%I", # 09 +195 "HH24": "%H", # 09 +196 "MI": "%M", # zero padded minute +197 "MM": "%m", # 01 +198 "OF": "%z", # utc offset +199 "SS": "%S", # zero padded second +200 "TMDay": "%A", # TM is locale dependent +201 "TMDy": "%a", +202 "TMMon": "%b", # Sep +203 "TMMonth": "%B", # September +204 "TZ": "%Z", # uppercase timezone name +205 "US": "%f", # zero padded microsecond +206 "WW": "%U", # 1-based week of year +207 "YY": "%y", # 15 +208 "YYYY": "%Y", # 2015 +209 } +210 +211 class Tokenizer(tokens.Tokenizer): +212 QUOTES = ["'", "$$"] +213 +214 BIT_STRINGS = [("b'", "'"), ("B'", "'")] +215 HEX_STRINGS = [("x'", "'"), ("X'", "'")] +216 BYTE_STRINGS = [("e'", "'"), ("E'", "'")] +217 +218 KEYWORDS = { +219 **tokens.Tokenizer.KEYWORDS, +220 "~~": TokenType.LIKE, +221 "~~*": TokenType.ILIKE, +222 "~*": TokenType.IRLIKE, +223 "~": TokenType.RLIKE, +224 "@>": TokenType.AT_GT, +225 "<@": TokenType.LT_AT, +226 "BEGIN": TokenType.COMMAND, +227 "BEGIN TRANSACTION": TokenType.BEGIN, +228 "BIGSERIAL": TokenType.BIGSERIAL, +229 "CHARACTER VARYING": TokenType.VARCHAR, +230 "DECLARE": TokenType.COMMAND, +231 "DO": TokenType.COMMAND, +232 "HSTORE": TokenType.HSTORE, +233 "JSONB": TokenType.JSONB, +234 "REFRESH": TokenType.COMMAND, +235 "REINDEX": TokenType.COMMAND, +236 "RESET": TokenType.COMMAND, +237 "RETURNING": TokenType.RETURNING, +238 "REVOKE": TokenType.COMMAND, +239 "SERIAL": TokenType.SERIAL, +240 "SMALLSERIAL": TokenType.SMALLSERIAL, +241 "TEMP": TokenType.TEMPORARY, +242 "CSTRING": TokenType.PSEUDO_TYPE, +243 } +244 +245 SINGLE_TOKENS = { +246 **tokens.Tokenizer.SINGLE_TOKENS, +247 "$": TokenType.PARAMETER, +248 } +249 +250 VAR_SINGLE_TOKENS = {"$"} +251 +252 class Parser(parser.Parser): +253 STRICT_CAST = False +254 +255 FUNCTIONS = { +256 **parser.Parser.FUNCTIONS, # type: ignore +257 "DATE_TRUNC": lambda args: exp.TimestampTrunc( +258 this=seq_get(args, 1), unit=seq_get(args, 0) +259 ), +260 "GENERATE_SERIES": _generate_series, +261 "NOW": exp.CurrentTimestamp.from_arg_list, +262 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), +263 "TO_TIMESTAMP": _to_timestamp, +264 } +265 +266 FUNCTION_PARSERS = { +267 **parser.Parser.FUNCTION_PARSERS, +268 "DATE_PART": lambda self: self._parse_date_part(), +269 } +270 +271 BITWISE = { +272 **parser.Parser.BITWISE, # type: ignore +273 TokenType.HASH: exp.BitwiseXor, +274 } +275 +276 FACTOR = { +277 **parser.Parser.FACTOR, +278 TokenType.CARET: exp.Pow, +279 } +280 +281 RANGE_PARSERS = { +282 **parser.Parser.RANGE_PARSERS, # type: ignore +283 TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps), +284 TokenType.AT_GT: binary_range_parser(exp.ArrayContains), +285 TokenType.LT_AT: binary_range_parser(exp.ArrayContained), +286 } +287 +288 def _parse_date_part(self) -> exp.Expression: +289 part = self._parse_type() +290 self._match(TokenType.COMMA) +291 value = self._parse_bitwise() +292 +293 if part and part.is_string: +294 part = exp.Var(this=part.name) +295 +296 return self.expression(exp.Extract, this=part, expression=value) +297 +298 class Generator(generator.Generator): +299 INTERVAL_ALLOWS_PLURAL_FORM = False +300 LOCKING_READS_SUPPORTED = True +301 JOIN_HINTS = False +302 TABLE_HINTS = False +303 PARAMETER_TOKEN = "$" +304 +305 TYPE_MAPPING = { +306 **generator.Generator.TYPE_MAPPING, # type: ignore +307 exp.DataType.Type.TINYINT: "SMALLINT", +308 exp.DataType.Type.FLOAT: "REAL", +309 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +310 exp.DataType.Type.BINARY: "BYTEA", +311 exp.DataType.Type.VARBINARY: "BYTEA", +312 exp.DataType.Type.DATETIME: "TIMESTAMP", +313 } +314 +315 TRANSFORMS = { +316 **generator.Generator.TRANSFORMS, # type: ignore +317 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), +318 exp.ColumnDef: transforms.preprocess( +319 [ +320 _auto_increment_to_serial, +321 _serial_to_generated, +322 ], +323 ), +324 exp.JSONExtract: arrow_json_extract_sql, +325 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +326 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), +327 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), +328 exp.JSONBContains: lambda self, e: self.binary(e, "?"), +329 exp.Pow: lambda self, e: self.binary(e, "^"), +330 exp.CurrentDate: no_paren_current_date_sql, +331 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +332 exp.DateAdd: _date_add_sql("+"), +333 exp.DateStrToDate: datestrtodate_sql, +334 exp.DateSub: _date_add_sql("-"), +335 exp.DateDiff: _date_diff_sql, +336 exp.LogicalOr: rename_func("BOOL_OR"), +337 exp.LogicalAnd: rename_func("BOOL_AND"), +338 exp.Max: max_or_greatest, +339 exp.Min: min_or_least, +340 exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"), +341 exp.ArrayContains: lambda self, e: self.binary(e, "@>"), +342 exp.ArrayContained: lambda self, e: self.binary(e, "<@"), +343 exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]), +344 exp.RegexpLike: lambda self, e: self.binary(e, "~"), +345 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), +346 exp.StrPosition: str_position_sql, +347 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +348 exp.Substring: _substring_sql, +349 exp.TimestampTrunc: timestamptrunc_sql, +350 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", +351 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +352 exp.TableSample: no_tablesample_sql, +353 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +354 exp.Trim: trim_sql, +355 exp.TryCast: no_trycast_sql, +356 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", +357 exp.DataType: _datatype_sql, +358 exp.GroupConcat: _string_agg_sql, +359 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" +360 if isinstance(seq_get(e.expressions, 0), exp.Select) +361 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", +362 } +363 +364 PROPERTIES_LOCATION = { +365 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +366 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, +367 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +368 }
180class Postgres(Dialect): -181 null_ordering = "nulls_are_large" -182 time_format = "'YYYY-MM-DD HH24:MI:SS'" -183 time_mapping = { -184 "AM": "%p", -185 "PM": "%p", -186 "D": "%u", # 1-based day of week -187 "DD": "%d", # day of month -188 "DDD": "%j", # zero padded day of year -189 "FMDD": "%-d", # - is no leading zero for Python; same for FM in postgres -190 "FMDDD": "%-j", # day of year -191 "FMHH12": "%-I", # 9 -192 "FMHH24": "%-H", # 9 -193 "FMMI": "%-M", # Minute -194 "FMMM": "%-m", # 1 -195 "FMSS": "%-S", # Second -196 "HH12": "%I", # 09 -197 "HH24": "%H", # 09 -198 "MI": "%M", # zero padded minute -199 "MM": "%m", # 01 -200 "OF": "%z", # utc offset -201 "SS": "%S", # zero padded second -202 "TMDay": "%A", # TM is locale dependent -203 "TMDy": "%a", -204 "TMMon": "%b", # Sep -205 "TMMonth": "%B", # September -206 "TZ": "%Z", # uppercase timezone name -207 "US": "%f", # zero padded microsecond -208 "WW": "%U", # 1-based week of year -209 "YY": "%y", # 15 -210 "YYYY": "%Y", # 2015 -211 } -212 -213 class Tokenizer(tokens.Tokenizer): -214 QUOTES = ["'", "$$"] -215 -216 BIT_STRINGS = [("b'", "'"), ("B'", "'")] -217 HEX_STRINGS = [("x'", "'"), ("X'", "'")] -218 BYTE_STRINGS = [("e'", "'"), ("E'", "'")] -219 -220 KEYWORDS = { -221 **tokens.Tokenizer.KEYWORDS, -222 "~~": TokenType.LIKE, -223 "~~*": TokenType.ILIKE, -224 "~*": TokenType.IRLIKE, -225 "~": TokenType.RLIKE, -226 "@>": TokenType.AT_GT, -227 "<@": TokenType.LT_AT, -228 "BEGIN": TokenType.COMMAND, -229 "BEGIN TRANSACTION": TokenType.BEGIN, -230 "BIGSERIAL": TokenType.BIGSERIAL, -231 "CHARACTER VARYING": TokenType.VARCHAR, -232 "DECLARE": TokenType.COMMAND, -233 "DO": TokenType.COMMAND, -234 "HSTORE": TokenType.HSTORE, -235 "JSONB": TokenType.JSONB, -236 "REFRESH": TokenType.COMMAND, -237 "REINDEX": TokenType.COMMAND, -238 "RESET": TokenType.COMMAND, -239 "RETURNING": TokenType.RETURNING, -240 "REVOKE": TokenType.COMMAND, -241 "SERIAL": TokenType.SERIAL, -242 "SMALLSERIAL": TokenType.SMALLSERIAL, -243 "TEMP": TokenType.TEMPORARY, -244 "CSTRING": TokenType.PSEUDO_TYPE, -245 } -246 -247 SINGLE_TOKENS = { -248 **tokens.Tokenizer.SINGLE_TOKENS, -249 "$": TokenType.PARAMETER, -250 } -251 -252 VAR_SINGLE_TOKENS = {"$"} -253 -254 class Parser(parser.Parser): -255 STRICT_CAST = False -256 -257 FUNCTIONS = { -258 **parser.Parser.FUNCTIONS, # type: ignore -259 "DATE_TRUNC": lambda args: exp.TimestampTrunc( -260 this=seq_get(args, 1), unit=seq_get(args, 0) -261 ), -262 "GENERATE_SERIES": _generate_series, -263 "NOW": exp.CurrentTimestamp.from_arg_list, -264 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), -265 "TO_TIMESTAMP": _to_timestamp, -266 } -267 -268 FUNCTION_PARSERS = { -269 **parser.Parser.FUNCTION_PARSERS, -270 "DATE_PART": lambda self: self._parse_date_part(), -271 } -272 -273 BITWISE = { -274 **parser.Parser.BITWISE, # type: ignore -275 TokenType.HASH: exp.BitwiseXor, -276 } -277 -278 FACTOR = { -279 **parser.Parser.FACTOR, -280 TokenType.CARET: exp.Pow, -281 } -282 -283 RANGE_PARSERS = { -284 **parser.Parser.RANGE_PARSERS, # type: ignore -285 TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps), -286 TokenType.AT_GT: binary_range_parser(exp.ArrayContains), -287 TokenType.LT_AT: binary_range_parser(exp.ArrayContained), -288 } -289 -290 def _parse_date_part(self) -> exp.Expression: -291 part = self._parse_type() -292 self._match(TokenType.COMMA) -293 value = self._parse_bitwise() -294 -295 if part and part.is_string: -296 part = exp.Var(this=part.name) -297 -298 return self.expression(exp.Extract, this=part, expression=value) -299 -300 class Generator(generator.Generator): -301 INTERVAL_ALLOWS_PLURAL_FORM = False -302 LOCKING_READS_SUPPORTED = True -303 JOIN_HINTS = False -304 TABLE_HINTS = False -305 PARAMETER_TOKEN = "$" -306 -307 TYPE_MAPPING = { -308 **generator.Generator.TYPE_MAPPING, # type: ignore -309 exp.DataType.Type.TINYINT: "SMALLINT", -310 exp.DataType.Type.FLOAT: "REAL", -311 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", -312 exp.DataType.Type.BINARY: "BYTEA", -313 exp.DataType.Type.VARBINARY: "BYTEA", -314 exp.DataType.Type.DATETIME: "TIMESTAMP", -315 } -316 -317 TRANSFORMS = { -318 **generator.Generator.TRANSFORMS, # type: ignore -319 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), -320 exp.ColumnDef: preprocess( -321 [ -322 _auto_increment_to_serial, -323 _serial_to_generated, -324 ], -325 ), -326 exp.JSONExtract: arrow_json_extract_sql, -327 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -328 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), -329 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), -330 exp.JSONBContains: lambda self, e: self.binary(e, "?"), -331 exp.Pow: lambda self, e: self.binary(e, "^"), -332 exp.CurrentDate: no_paren_current_date_sql, -333 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -334 exp.DateAdd: _date_add_sql("+"), -335 exp.DateStrToDate: datestrtodate_sql, -336 exp.DateSub: _date_add_sql("-"), -337 exp.DateDiff: _date_diff_sql, -338 exp.LogicalOr: rename_func("BOOL_OR"), -339 exp.LogicalAnd: rename_func("BOOL_AND"), -340 exp.Max: max_or_greatest, -341 exp.Min: min_or_least, -342 exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"), -343 exp.ArrayContains: lambda self, e: self.binary(e, "@>"), -344 exp.ArrayContained: lambda self, e: self.binary(e, "<@"), -345 exp.Merge: preprocess([remove_target_from_merge]), -346 exp.RegexpLike: lambda self, e: self.binary(e, "~"), -347 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), -348 exp.StrPosition: str_position_sql, -349 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -350 exp.Substring: _substring_sql, -351 exp.TimestampTrunc: timestamptrunc_sql, -352 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", -353 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -354 exp.TableSample: no_tablesample_sql, -355 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -356 exp.Trim: trim_sql, -357 exp.TryCast: no_trycast_sql, -358 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", -359 exp.DataType: _datatype_sql, -360 exp.GroupConcat: _string_agg_sql, -361 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" -362 if isinstance(seq_get(e.expressions, 0), exp.Select) -363 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", -364 } -365 -366 PROPERTIES_LOCATION = { -367 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -368 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, -369 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -370 } +@@ -686,46 +685,46 @@179class Postgres(Dialect): +180 null_ordering = "nulls_are_large" +181 time_format = "'YYYY-MM-DD HH24:MI:SS'" +182 time_mapping = { +183 "AM": "%p", +184 "PM": "%p", +185 "D": "%u", # 1-based day of week +186 "DD": "%d", # day of month +187 "DDD": "%j", # zero padded day of year +188 "FMDD": "%-d", # - is no leading zero for Python; same for FM in postgres +189 "FMDDD": "%-j", # day of year +190 "FMHH12": "%-I", # 9 +191 "FMHH24": "%-H", # 9 +192 "FMMI": "%-M", # Minute +193 "FMMM": "%-m", # 1 +194 "FMSS": "%-S", # Second +195 "HH12": "%I", # 09 +196 "HH24": "%H", # 09 +197 "MI": "%M", # zero padded minute +198 "MM": "%m", # 01 +199 "OF": "%z", # utc offset +200 "SS": "%S", # zero padded second +201 "TMDay": "%A", # TM is locale dependent +202 "TMDy": "%a", +203 "TMMon": "%b", # Sep +204 "TMMonth": "%B", # September +205 "TZ": "%Z", # uppercase timezone name +206 "US": "%f", # zero padded microsecond +207 "WW": "%U", # 1-based week of year +208 "YY": "%y", # 15 +209 "YYYY": "%Y", # 2015 +210 } +211 +212 class Tokenizer(tokens.Tokenizer): +213 QUOTES = ["'", "$$"] +214 +215 BIT_STRINGS = [("b'", "'"), ("B'", "'")] +216 HEX_STRINGS = [("x'", "'"), ("X'", "'")] +217 BYTE_STRINGS = [("e'", "'"), ("E'", "'")] +218 +219 KEYWORDS = { +220 **tokens.Tokenizer.KEYWORDS, +221 "~~": TokenType.LIKE, +222 "~~*": TokenType.ILIKE, +223 "~*": TokenType.IRLIKE, +224 "~": TokenType.RLIKE, +225 "@>": TokenType.AT_GT, +226 "<@": TokenType.LT_AT, +227 "BEGIN": TokenType.COMMAND, +228 "BEGIN TRANSACTION": TokenType.BEGIN, +229 "BIGSERIAL": TokenType.BIGSERIAL, +230 "CHARACTER VARYING": TokenType.VARCHAR, +231 "DECLARE": TokenType.COMMAND, +232 "DO": TokenType.COMMAND, +233 "HSTORE": TokenType.HSTORE, +234 "JSONB": TokenType.JSONB, +235 "REFRESH": TokenType.COMMAND, +236 "REINDEX": TokenType.COMMAND, +237 "RESET": TokenType.COMMAND, +238 "RETURNING": TokenType.RETURNING, +239 "REVOKE": TokenType.COMMAND, +240 "SERIAL": TokenType.SERIAL, +241 "SMALLSERIAL": TokenType.SMALLSERIAL, +242 "TEMP": TokenType.TEMPORARY, +243 "CSTRING": TokenType.PSEUDO_TYPE, +244 } +245 +246 SINGLE_TOKENS = { +247 **tokens.Tokenizer.SINGLE_TOKENS, +248 "$": TokenType.PARAMETER, +249 } +250 +251 VAR_SINGLE_TOKENS = {"$"} +252 +253 class Parser(parser.Parser): +254 STRICT_CAST = False +255 +256 FUNCTIONS = { +257 **parser.Parser.FUNCTIONS, # type: ignore +258 "DATE_TRUNC": lambda args: exp.TimestampTrunc( +259 this=seq_get(args, 1), unit=seq_get(args, 0) +260 ), +261 "GENERATE_SERIES": _generate_series, +262 "NOW": exp.CurrentTimestamp.from_arg_list, +263 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), +264 "TO_TIMESTAMP": _to_timestamp, +265 } +266 +267 FUNCTION_PARSERS = { +268 **parser.Parser.FUNCTION_PARSERS, +269 "DATE_PART": lambda self: self._parse_date_part(), +270 } +271 +272 BITWISE = { +273 **parser.Parser.BITWISE, # type: ignore +274 TokenType.HASH: exp.BitwiseXor, +275 } +276 +277 FACTOR = { +278 **parser.Parser.FACTOR, +279 TokenType.CARET: exp.Pow, +280 } +281 +282 RANGE_PARSERS = { +283 **parser.Parser.RANGE_PARSERS, # type: ignore +284 TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps), +285 TokenType.AT_GT: binary_range_parser(exp.ArrayContains), +286 TokenType.LT_AT: binary_range_parser(exp.ArrayContained), +287 } +288 +289 def _parse_date_part(self) -> exp.Expression: +290 part = self._parse_type() +291 self._match(TokenType.COMMA) +292 value = self._parse_bitwise() +293 +294 if part and part.is_string: +295 part = exp.Var(this=part.name) +296 +297 return self.expression(exp.Extract, this=part, expression=value) +298 +299 class Generator(generator.Generator): +300 INTERVAL_ALLOWS_PLURAL_FORM = False +301 LOCKING_READS_SUPPORTED = True +302 JOIN_HINTS = False +303 TABLE_HINTS = False +304 PARAMETER_TOKEN = "$" +305 +306 TYPE_MAPPING = { +307 **generator.Generator.TYPE_MAPPING, # type: ignore +308 exp.DataType.Type.TINYINT: "SMALLINT", +309 exp.DataType.Type.FLOAT: "REAL", +310 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +311 exp.DataType.Type.BINARY: "BYTEA", +312 exp.DataType.Type.VARBINARY: "BYTEA", +313 exp.DataType.Type.DATETIME: "TIMESTAMP", +314 } +315 +316 TRANSFORMS = { +317 **generator.Generator.TRANSFORMS, # type: ignore +318 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), +319 exp.ColumnDef: transforms.preprocess( +320 [ +321 _auto_increment_to_serial, +322 _serial_to_generated, +323 ], +324 ), +325 exp.JSONExtract: arrow_json_extract_sql, +326 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +327 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), +328 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), +329 exp.JSONBContains: lambda self, e: self.binary(e, "?"), +330 exp.Pow: lambda self, e: self.binary(e, "^"), +331 exp.CurrentDate: no_paren_current_date_sql, +332 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +333 exp.DateAdd: _date_add_sql("+"), +334 exp.DateStrToDate: datestrtodate_sql, +335 exp.DateSub: _date_add_sql("-"), +336 exp.DateDiff: _date_diff_sql, +337 exp.LogicalOr: rename_func("BOOL_OR"), +338 exp.LogicalAnd: rename_func("BOOL_AND"), +339 exp.Max: max_or_greatest, +340 exp.Min: min_or_least, +341 exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"), +342 exp.ArrayContains: lambda self, e: self.binary(e, "@>"), +343 exp.ArrayContained: lambda self, e: self.binary(e, "<@"), +344 exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]), +345 exp.RegexpLike: lambda self, e: self.binary(e, "~"), +346 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), +347 exp.StrPosition: str_position_sql, +348 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +349 exp.Substring: _substring_sql, +350 exp.TimestampTrunc: timestamptrunc_sql, +351 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", +352 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +353 exp.TableSample: no_tablesample_sql, +354 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +355 exp.Trim: trim_sql, +356 exp.TryCast: no_trycast_sql, +357 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", +358 exp.DataType: _datatype_sql, +359 exp.GroupConcat: _string_agg_sql, +360 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" +361 if isinstance(seq_get(e.expressions, 0), exp.Select) +362 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", +363 } +364 +365 PROPERTIES_LOCATION = { +366 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +367 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, +368 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +369 }
213 class Tokenizer(tokens.Tokenizer): -214 QUOTES = ["'", "$$"] -215 -216 BIT_STRINGS = [("b'", "'"), ("B'", "'")] -217 HEX_STRINGS = [("x'", "'"), ("X'", "'")] -218 BYTE_STRINGS = [("e'", "'"), ("E'", "'")] -219 -220 KEYWORDS = { -221 **tokens.Tokenizer.KEYWORDS, -222 "~~": TokenType.LIKE, -223 "~~*": TokenType.ILIKE, -224 "~*": TokenType.IRLIKE, -225 "~": TokenType.RLIKE, -226 "@>": TokenType.AT_GT, -227 "<@": TokenType.LT_AT, -228 "BEGIN": TokenType.COMMAND, -229 "BEGIN TRANSACTION": TokenType.BEGIN, -230 "BIGSERIAL": TokenType.BIGSERIAL, -231 "CHARACTER VARYING": TokenType.VARCHAR, -232 "DECLARE": TokenType.COMMAND, -233 "DO": TokenType.COMMAND, -234 "HSTORE": TokenType.HSTORE, -235 "JSONB": TokenType.JSONB, -236 "REFRESH": TokenType.COMMAND, -237 "REINDEX": TokenType.COMMAND, -238 "RESET": TokenType.COMMAND, -239 "RETURNING": TokenType.RETURNING, -240 "REVOKE": TokenType.COMMAND, -241 "SERIAL": TokenType.SERIAL, -242 "SMALLSERIAL": TokenType.SMALLSERIAL, -243 "TEMP": TokenType.TEMPORARY, -244 "CSTRING": TokenType.PSEUDO_TYPE, -245 } -246 -247 SINGLE_TOKENS = { -248 **tokens.Tokenizer.SINGLE_TOKENS, -249 "$": TokenType.PARAMETER, -250 } -251 -252 VAR_SINGLE_TOKENS = {"$"} +@@ -753,51 +752,51 @@212 class Tokenizer(tokens.Tokenizer): +213 QUOTES = ["'", "$$"] +214 +215 BIT_STRINGS = [("b'", "'"), ("B'", "'")] +216 HEX_STRINGS = [("x'", "'"), ("X'", "'")] +217 BYTE_STRINGS = [("e'", "'"), ("E'", "'")] +218 +219 KEYWORDS = { +220 **tokens.Tokenizer.KEYWORDS, +221 "~~": TokenType.LIKE, +222 "~~*": TokenType.ILIKE, +223 "~*": TokenType.IRLIKE, +224 "~": TokenType.RLIKE, +225 "@>": TokenType.AT_GT, +226 "<@": TokenType.LT_AT, +227 "BEGIN": TokenType.COMMAND, +228 "BEGIN TRANSACTION": TokenType.BEGIN, +229 "BIGSERIAL": TokenType.BIGSERIAL, +230 "CHARACTER VARYING": TokenType.VARCHAR, +231 "DECLARE": TokenType.COMMAND, +232 "DO": TokenType.COMMAND, +233 "HSTORE": TokenType.HSTORE, +234 "JSONB": TokenType.JSONB, +235 "REFRESH": TokenType.COMMAND, +236 "REINDEX": TokenType.COMMAND, +237 "RESET": TokenType.COMMAND, +238 "RETURNING": TokenType.RETURNING, +239 "REVOKE": TokenType.COMMAND, +240 "SERIAL": TokenType.SERIAL, +241 "SMALLSERIAL": TokenType.SMALLSERIAL, +242 "TEMP": TokenType.TEMPORARY, +243 "CSTRING": TokenType.PSEUDO_TYPE, +244 } +245 +246 SINGLE_TOKENS = { +247 **tokens.Tokenizer.SINGLE_TOKENS, +248 "$": TokenType.PARAMETER, +249 } +250 +251 VAR_SINGLE_TOKENS = {"$"}
254 class Parser(parser.Parser): -255 STRICT_CAST = False -256 -257 FUNCTIONS = { -258 **parser.Parser.FUNCTIONS, # type: ignore -259 "DATE_TRUNC": lambda args: exp.TimestampTrunc( -260 this=seq_get(args, 1), unit=seq_get(args, 0) -261 ), -262 "GENERATE_SERIES": _generate_series, -263 "NOW": exp.CurrentTimestamp.from_arg_list, -264 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), -265 "TO_TIMESTAMP": _to_timestamp, -266 } -267 -268 FUNCTION_PARSERS = { -269 **parser.Parser.FUNCTION_PARSERS, -270 "DATE_PART": lambda self: self._parse_date_part(), -271 } -272 -273 BITWISE = { -274 **parser.Parser.BITWISE, # type: ignore -275 TokenType.HASH: exp.BitwiseXor, -276 } -277 -278 FACTOR = { -279 **parser.Parser.FACTOR, -280 TokenType.CARET: exp.Pow, -281 } -282 -283 RANGE_PARSERS = { -284 **parser.Parser.RANGE_PARSERS, # type: ignore -285 TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps), -286 TokenType.AT_GT: binary_range_parser(exp.ArrayContains), -287 TokenType.LT_AT: binary_range_parser(exp.ArrayContained), -288 } -289 -290 def _parse_date_part(self) -> exp.Expression: -291 part = self._parse_type() -292 self._match(TokenType.COMMA) -293 value = self._parse_bitwise() -294 -295 if part and part.is_string: -296 part = exp.Var(this=part.name) -297 -298 return self.expression(exp.Extract, this=part, expression=value) +@@ -854,77 +853,77 @@ Default: "nulls_are_small"253 class Parser(parser.Parser): +254 STRICT_CAST = False +255 +256 FUNCTIONS = { +257 **parser.Parser.FUNCTIONS, # type: ignore +258 "DATE_TRUNC": lambda args: exp.TimestampTrunc( +259 this=seq_get(args, 1), unit=seq_get(args, 0) +260 ), +261 "GENERATE_SERIES": _generate_series, +262 "NOW": exp.CurrentTimestamp.from_arg_list, +263 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), +264 "TO_TIMESTAMP": _to_timestamp, +265 } +266 +267 FUNCTION_PARSERS = { +268 **parser.Parser.FUNCTION_PARSERS, +269 "DATE_PART": lambda self: self._parse_date_part(), +270 } +271 +272 BITWISE = { +273 **parser.Parser.BITWISE, # type: ignore +274 TokenType.HASH: exp.BitwiseXor, +275 } +276 +277 FACTOR = { +278 **parser.Parser.FACTOR, +279 TokenType.CARET: exp.Pow, +280 } +281 +282 RANGE_PARSERS = { +283 **parser.Parser.RANGE_PARSERS, # type: ignore +284 TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps), +285 TokenType.AT_GT: binary_range_parser(exp.ArrayContains), +286 TokenType.LT_AT: binary_range_parser(exp.ArrayContained), +287 } +288 +289 def _parse_date_part(self) -> exp.Expression: +290 part = self._parse_type() +291 self._match(TokenType.COMMA) +292 value = self._parse_bitwise() +293 +294 if part and part.is_string: +295 part = exp.Var(this=part.name) +296 +297 return self.expression(exp.Extract, this=part, expression=value)
300 class Generator(generator.Generator): -301 INTERVAL_ALLOWS_PLURAL_FORM = False -302 LOCKING_READS_SUPPORTED = True -303 JOIN_HINTS = False -304 TABLE_HINTS = False -305 PARAMETER_TOKEN = "$" -306 -307 TYPE_MAPPING = { -308 **generator.Generator.TYPE_MAPPING, # type: ignore -309 exp.DataType.Type.TINYINT: "SMALLINT", -310 exp.DataType.Type.FLOAT: "REAL", -311 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", -312 exp.DataType.Type.BINARY: "BYTEA", -313 exp.DataType.Type.VARBINARY: "BYTEA", -314 exp.DataType.Type.DATETIME: "TIMESTAMP", -315 } -316 -317 TRANSFORMS = { -318 **generator.Generator.TRANSFORMS, # type: ignore -319 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), -320 exp.ColumnDef: preprocess( -321 [ -322 _auto_increment_to_serial, -323 _serial_to_generated, -324 ], -325 ), -326 exp.JSONExtract: arrow_json_extract_sql, -327 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -328 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), -329 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), -330 exp.JSONBContains: lambda self, e: self.binary(e, "?"), -331 exp.Pow: lambda self, e: self.binary(e, "^"), -332 exp.CurrentDate: no_paren_current_date_sql, -333 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -334 exp.DateAdd: _date_add_sql("+"), -335 exp.DateStrToDate: datestrtodate_sql, -336 exp.DateSub: _date_add_sql("-"), -337 exp.DateDiff: _date_diff_sql, -338 exp.LogicalOr: rename_func("BOOL_OR"), -339 exp.LogicalAnd: rename_func("BOOL_AND"), -340 exp.Max: max_or_greatest, -341 exp.Min: min_or_least, -342 exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"), -343 exp.ArrayContains: lambda self, e: self.binary(e, "@>"), -344 exp.ArrayContained: lambda self, e: self.binary(e, "<@"), -345 exp.Merge: preprocess([remove_target_from_merge]), -346 exp.RegexpLike: lambda self, e: self.binary(e, "~"), -347 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), -348 exp.StrPosition: str_position_sql, -349 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -350 exp.Substring: _substring_sql, -351 exp.TimestampTrunc: timestamptrunc_sql, -352 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", -353 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -354 exp.TableSample: no_tablesample_sql, -355 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -356 exp.Trim: trim_sql, -357 exp.TryCast: no_trycast_sql, -358 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", -359 exp.DataType: _datatype_sql, -360 exp.GroupConcat: _string_agg_sql, -361 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" -362 if isinstance(seq_get(e.expressions, 0), exp.Select) -363 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", -364 } -365 -366 PROPERTIES_LOCATION = { -367 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -368 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, -369 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -370 } +@@ -1096,7 +1095,7 @@ Default: True299 class Generator(generator.Generator): +300 INTERVAL_ALLOWS_PLURAL_FORM = False +301 LOCKING_READS_SUPPORTED = True +302 JOIN_HINTS = False +303 TABLE_HINTS = False +304 PARAMETER_TOKEN = "$" +305 +306 TYPE_MAPPING = { +307 **generator.Generator.TYPE_MAPPING, # type: ignore +308 exp.DataType.Type.TINYINT: "SMALLINT", +309 exp.DataType.Type.FLOAT: "REAL", +310 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +311 exp.DataType.Type.BINARY: "BYTEA", +312 exp.DataType.Type.VARBINARY: "BYTEA", +313 exp.DataType.Type.DATETIME: "TIMESTAMP", +314 } +315 +316 TRANSFORMS = { +317 **generator.Generator.TRANSFORMS, # type: ignore +318 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), +319 exp.ColumnDef: transforms.preprocess( +320 [ +321 _auto_increment_to_serial, +322 _serial_to_generated, +323 ], +324 ), +325 exp.JSONExtract: arrow_json_extract_sql, +326 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +327 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), +328 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), +329 exp.JSONBContains: lambda self, e: self.binary(e, "?"), +330 exp.Pow: lambda self, e: self.binary(e, "^"), +331 exp.CurrentDate: no_paren_current_date_sql, +332 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +333 exp.DateAdd: _date_add_sql("+"), +334 exp.DateStrToDate: datestrtodate_sql, +335 exp.DateSub: _date_add_sql("-"), +336 exp.DateDiff: _date_diff_sql, +337 exp.LogicalOr: rename_func("BOOL_OR"), +338 exp.LogicalAnd: rename_func("BOOL_AND"), +339 exp.Max: max_or_greatest, +340 exp.Min: min_or_least, +341 exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"), +342 exp.ArrayContains: lambda self, e: self.binary(e, "@>"), +343 exp.ArrayContained: lambda self, e: self.binary(e, "<@"), +344 exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]), +345 exp.RegexpLike: lambda self, e: self.binary(e, "~"), +346 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), +347 exp.StrPosition: str_position_sql, +348 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +349 exp.Substring: _substring_sql, +350 exp.TimestampTrunc: timestamptrunc_sql, +351 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", +352 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +353 exp.TableSample: no_tablesample_sql, +354 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +355 exp.Trim: trim_sql, +356 exp.TryCast: no_trycast_sql, +357 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", +358 exp.DataType: _datatype_sql, +359 exp.GroupConcat: _string_agg_sql, +360 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" +361 if isinstance(seq_get(e.expressions, 0), exp.Select) +362 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", +363 } +364 +365 PROPERTIES_LOCATION = { +366 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +367 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, +368 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +369 }where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -1105,6 +1104,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/presto.html b/docs/sqlglot/dialects/presto.html index d78e456..a09aab9 100644 --- a/docs/sqlglot/dialects/presto.html +++ b/docs/sqlglot/dialects/presto.html @@ -215,7 +215,7 @@ 130def _sequence_sql(self: generator.Generator, expression: exp.GenerateSeries) -> str: 131 start = expression.args["start"] 132 end = expression.args["end"] -133 step = expression.args.get("step", 1) # Postgres defaults to 1 for generate_series +133 step = expression.args.get("step") 134 135 target_type = None 136 @@ -232,198 +232,207 @@ 147 else: 148 start = exp.Cast(this=start, to=to) 149 -150 return self.func("SEQUENCE", start, end, step) -151 -152 -153def _ensure_utf8(charset: exp.Literal) -> None: -154 if charset.name.lower() != "utf-8": -155 raise UnsupportedError(f"Unsupported charset {charset}") +150 sql = self.func("SEQUENCE", start, end, step) +151 if isinstance(expression.parent, exp.Table): +152 sql = f"UNNEST({sql})" +153 +154 return sql +155 156 -157 -158def _approx_percentile(args: t.Sequence) -> exp.Expression: -159 if len(args) == 4: -160 return exp.ApproxQuantile( -161 this=seq_get(args, 0), -162 weight=seq_get(args, 1), -163 quantile=seq_get(args, 2), -164 accuracy=seq_get(args, 3), -165 ) -166 if len(args) == 3: -167 return exp.ApproxQuantile( -168 this=seq_get(args, 0), -169 quantile=seq_get(args, 1), -170 accuracy=seq_get(args, 2), -171 ) -172 return exp.ApproxQuantile.from_arg_list(args) -173 -174 -175def _from_unixtime(args: t.Sequence) -> exp.Expression: -176 if len(args) == 3: -177 return exp.UnixToTime( -178 this=seq_get(args, 0), -179 hours=seq_get(args, 1), -180 minutes=seq_get(args, 2), -181 ) -182 if len(args) == 2: -183 return exp.UnixToTime( -184 this=seq_get(args, 0), -185 zone=seq_get(args, 1), -186 ) -187 return exp.UnixToTime.from_arg_list(args) -188 -189 -190class Presto(Dialect): -191 index_offset = 1 -192 null_ordering = "nulls_are_last" -193 time_format = MySQL.time_format # type: ignore -194 time_mapping = MySQL.time_mapping # type: ignore -195 -196 class Tokenizer(tokens.Tokenizer): -197 KEYWORDS = { -198 **tokens.Tokenizer.KEYWORDS, -199 "START": TokenType.BEGIN, -200 "ROW": TokenType.STRUCT, -201 } -202 -203 class Parser(parser.Parser): -204 FUNCTIONS = { -205 **parser.Parser.FUNCTIONS, # type: ignore -206 "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list, -207 "CARDINALITY": exp.ArraySize.from_arg_list, -208 "CONTAINS": exp.ArrayContains.from_arg_list, -209 "DATE_ADD": lambda args: exp.DateAdd( -210 this=seq_get(args, 2), -211 expression=seq_get(args, 1), -212 unit=seq_get(args, 0), -213 ), -214 "DATE_DIFF": lambda args: exp.DateDiff( +157def _ensure_utf8(charset: exp.Literal) -> None: +158 if charset.name.lower() != "utf-8": +159 raise UnsupportedError(f"Unsupported charset {charset}") +160 +161 +162def _approx_percentile(args: t.Sequence) -> exp.Expression: +163 if len(args) == 4: +164 return exp.ApproxQuantile( +165 this=seq_get(args, 0), +166 weight=seq_get(args, 1), +167 quantile=seq_get(args, 2), +168 accuracy=seq_get(args, 3), +169 ) +170 if len(args) == 3: +171 return exp.ApproxQuantile( +172 this=seq_get(args, 0), +173 quantile=seq_get(args, 1), +174 accuracy=seq_get(args, 2), +175 ) +176 return exp.ApproxQuantile.from_arg_list(args) +177 +178 +179def _from_unixtime(args: t.Sequence) -> exp.Expression: +180 if len(args) == 3: +181 return exp.UnixToTime( +182 this=seq_get(args, 0), +183 hours=seq_get(args, 1), +184 minutes=seq_get(args, 2), +185 ) +186 if len(args) == 2: +187 return exp.UnixToTime( +188 this=seq_get(args, 0), +189 zone=seq_get(args, 1), +190 ) +191 return exp.UnixToTime.from_arg_list(args) +192 +193 +194class Presto(Dialect): +195 index_offset = 1 +196 null_ordering = "nulls_are_last" +197 time_format = MySQL.time_format # type: ignore +198 time_mapping = MySQL.time_mapping # type: ignore +199 +200 class Tokenizer(tokens.Tokenizer): +201 KEYWORDS = { +202 **tokens.Tokenizer.KEYWORDS, +203 "START": TokenType.BEGIN, +204 "ROW": TokenType.STRUCT, +205 } +206 +207 class Parser(parser.Parser): +208 FUNCTIONS = { +209 **parser.Parser.FUNCTIONS, # type: ignore +210 "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list, +211 "APPROX_PERCENTILE": _approx_percentile, +212 "CARDINALITY": exp.ArraySize.from_arg_list, +213 "CONTAINS": exp.ArrayContains.from_arg_list, +214 "DATE_ADD": lambda args: exp.DateAdd( 215 this=seq_get(args, 2), 216 expression=seq_get(args, 1), 217 unit=seq_get(args, 0), 218 ), -219 "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"), -220 "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"), -221 "DATE_TRUNC": date_trunc_to_time, -222 "FROM_UNIXTIME": _from_unixtime, -223 "NOW": exp.CurrentTimestamp.from_arg_list, -224 "STRPOS": lambda args: exp.StrPosition( -225 this=seq_get(args, 0), -226 substr=seq_get(args, 1), -227 instance=seq_get(args, 2), -228 ), -229 "TO_UNIXTIME": exp.TimeToUnix.from_arg_list, -230 "APPROX_PERCENTILE": _approx_percentile, -231 "FROM_HEX": exp.Unhex.from_arg_list, -232 "TO_HEX": exp.Hex.from_arg_list, -233 "TO_UTF8": lambda args: exp.Encode( -234 this=seq_get(args, 0), charset=exp.Literal.string("utf-8") -235 ), -236 "FROM_UTF8": lambda args: exp.Decode( -237 this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8") +219 "DATE_DIFF": lambda args: exp.DateDiff( +220 this=seq_get(args, 2), +221 expression=seq_get(args, 1), +222 unit=seq_get(args, 0), +223 ), +224 "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"), +225 "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"), +226 "DATE_TRUNC": date_trunc_to_time, +227 "FROM_HEX": exp.Unhex.from_arg_list, +228 "FROM_UNIXTIME": _from_unixtime, +229 "FROM_UTF8": lambda args: exp.Decode( +230 this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8") +231 ), +232 "NOW": exp.CurrentTimestamp.from_arg_list, +233 "SEQUENCE": exp.GenerateSeries.from_arg_list, +234 "STRPOS": lambda args: exp.StrPosition( +235 this=seq_get(args, 0), +236 substr=seq_get(args, 1), +237 instance=seq_get(args, 2), 238 ), -239 } -240 FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy() -241 FUNCTION_PARSERS.pop("TRIM") -242 -243 class Generator(generator.Generator): -244 INTERVAL_ALLOWS_PLURAL_FORM = False -245 JOIN_HINTS = False -246 TABLE_HINTS = False -247 STRUCT_DELIMITER = ("(", ")") -248 -249 PROPERTIES_LOCATION = { -250 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -251 exp.LocationProperty: exp.Properties.Location.UNSUPPORTED, -252 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -253 } -254 -255 TYPE_MAPPING = { -256 **generator.Generator.TYPE_MAPPING, # type: ignore -257 exp.DataType.Type.INT: "INTEGER", -258 exp.DataType.Type.FLOAT: "REAL", -259 exp.DataType.Type.BINARY: "VARBINARY", -260 exp.DataType.Type.TEXT: "VARCHAR", -261 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -262 exp.DataType.Type.STRUCT: "ROW", -263 } -264 -265 TRANSFORMS = { -266 **generator.Generator.TRANSFORMS, # type: ignore -267 **transforms.UNALIAS_GROUP, # type: ignore -268 exp.ApproxDistinct: _approx_distinct_sql, -269 exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]", -270 exp.ArrayConcat: rename_func("CONCAT"), -271 exp.ArrayContains: rename_func("CONTAINS"), -272 exp.ArraySize: rename_func("CARDINALITY"), -273 exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -274 exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -275 exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})", -276 exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -277 exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -278 exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -279 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -280 exp.DataType: _datatype_sql, -281 exp.DateAdd: lambda self, e: self.func( -282 "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this -283 ), -284 exp.DateDiff: lambda self, e: self.func( -285 "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this -286 ), -287 exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.date_format}) AS DATE)", -288 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.dateint_format}) AS INT)", -289 exp.Decode: _decode_sql, -290 exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.dateint_format}) AS DATE)", -291 exp.Encode: _encode_sql, -292 exp.GenerateSeries: _sequence_sql, -293 exp.Hex: rename_func("TO_HEX"), -294 exp.If: if_sql, -295 exp.ILike: no_ilike_sql, -296 exp.Initcap: _initcap_sql, -297 exp.Lateral: _explode_to_unnest_sql, -298 exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"), -299 exp.LogicalOr: rename_func("BOOL_OR"), -300 exp.LogicalAnd: rename_func("BOOL_AND"), -301 exp.Quantile: _quantile_sql, -302 exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"), -303 exp.SafeDivide: no_safe_divide_sql, -304 exp.Schema: _schema_sql, -305 exp.Select: transforms.preprocess( -306 [transforms.eliminate_qualify, transforms.explode_to_unnest] -307 ), -308 exp.SortArray: _no_sort_array, -309 exp.StrPosition: rename_func("STRPOS"), -310 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", -311 exp.StrToTime: _str_to_time_sql, -312 exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))", -313 exp.StructExtract: struct_extract_sql, -314 exp.TableFormatProperty: lambda self, e: f"TABLE_FORMAT='{e.name.upper()}'", -315 exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'", -316 exp.TimestampTrunc: timestamptrunc_sql, -317 exp.TimeStrToDate: timestrtotime_sql, -318 exp.TimeStrToTime: timestrtotime_sql, -319 exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.time_format}))", -320 exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})", -321 exp.TimeToUnix: rename_func("TO_UNIXTIME"), -322 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", -323 exp.TsOrDsAdd: _ts_or_ds_add_sql, -324 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, -325 exp.Unhex: rename_func("FROM_HEX"), -326 exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})", -327 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -328 exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)", -329 exp.VariancePop: rename_func("VAR_POP"), -330 } -331 -332 def interval_sql(self, expression: exp.Interval) -> str: -333 unit = self.sql(expression, "unit") -334 if expression.this and unit.lower().startswith("week"): -335 return f"({expression.this.name} * INTERVAL '7' day)" -336 return super().interval_sql(expression) -337 -338 def transaction_sql(self, expression: exp.Transaction) -> str: -339 modes = expression.args.get("modes") -340 modes = f" {', '.join(modes)}" if modes else "" -341 return f"START TRANSACTION{modes}" +239 "TO_UNIXTIME": exp.TimeToUnix.from_arg_list, +240 "TO_HEX": exp.Hex.from_arg_list, +241 "TO_UTF8": lambda args: exp.Encode( +242 this=seq_get(args, 0), charset=exp.Literal.string("utf-8") +243 ), +244 } +245 FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy() +246 FUNCTION_PARSERS.pop("TRIM") +247 +248 class Generator(generator.Generator): +249 INTERVAL_ALLOWS_PLURAL_FORM = False +250 JOIN_HINTS = False +251 TABLE_HINTS = False +252 STRUCT_DELIMITER = ("(", ")") +253 +254 PROPERTIES_LOCATION = { +255 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +256 exp.LocationProperty: exp.Properties.Location.UNSUPPORTED, +257 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +258 } +259 +260 TYPE_MAPPING = { +261 **generator.Generator.TYPE_MAPPING, # type: ignore +262 exp.DataType.Type.INT: "INTEGER", +263 exp.DataType.Type.FLOAT: "REAL", +264 exp.DataType.Type.BINARY: "VARBINARY", +265 exp.DataType.Type.TEXT: "VARCHAR", +266 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +267 exp.DataType.Type.STRUCT: "ROW", +268 } +269 +270 TRANSFORMS = { +271 **generator.Generator.TRANSFORMS, # type: ignore +272 exp.ApproxDistinct: _approx_distinct_sql, +273 exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]", +274 exp.ArrayConcat: rename_func("CONCAT"), +275 exp.ArrayContains: rename_func("CONTAINS"), +276 exp.ArraySize: rename_func("CARDINALITY"), +277 exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +278 exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +279 exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})", +280 exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +281 exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +282 exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +283 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +284 exp.DataType: _datatype_sql, +285 exp.DateAdd: lambda self, e: self.func( +286 "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this +287 ), +288 exp.DateDiff: lambda self, e: self.func( +289 "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this +290 ), +291 exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.date_format}) AS DATE)", +292 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.dateint_format}) AS INT)", +293 exp.Decode: _decode_sql, +294 exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.dateint_format}) AS DATE)", +295 exp.Encode: _encode_sql, +296 exp.GenerateSeries: _sequence_sql, +297 exp.Group: transforms.preprocess([transforms.unalias_group]), +298 exp.Hex: rename_func("TO_HEX"), +299 exp.If: if_sql, +300 exp.ILike: no_ilike_sql, +301 exp.Initcap: _initcap_sql, +302 exp.Lateral: _explode_to_unnest_sql, +303 exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"), +304 exp.LogicalOr: rename_func("BOOL_OR"), +305 exp.LogicalAnd: rename_func("BOOL_AND"), +306 exp.Quantile: _quantile_sql, +307 exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"), +308 exp.SafeDivide: no_safe_divide_sql, +309 exp.Schema: _schema_sql, +310 exp.Select: transforms.preprocess( +311 [ +312 transforms.eliminate_qualify, +313 transforms.eliminate_distinct_on, +314 transforms.explode_to_unnest, +315 ] +316 ), +317 exp.SortArray: _no_sort_array, +318 exp.StrPosition: rename_func("STRPOS"), +319 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", +320 exp.StrToTime: _str_to_time_sql, +321 exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))", +322 exp.StructExtract: struct_extract_sql, +323 exp.TableFormatProperty: lambda self, e: f"TABLE_FORMAT='{e.name.upper()}'", +324 exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'", +325 exp.TimestampTrunc: timestamptrunc_sql, +326 exp.TimeStrToDate: timestrtotime_sql, +327 exp.TimeStrToTime: timestrtotime_sql, +328 exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.time_format}))", +329 exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})", +330 exp.TimeToUnix: rename_func("TO_UNIXTIME"), +331 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", +332 exp.TsOrDsAdd: _ts_or_ds_add_sql, +333 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, +334 exp.Unhex: rename_func("FROM_HEX"), +335 exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})", +336 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +337 exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)", +338 exp.VariancePop: rename_func("VAR_POP"), +339 } +340 +341 def interval_sql(self, expression: exp.Interval) -> str: +342 unit = self.sql(expression, "unit") +343 if expression.this and unit.lower().startswith("week"): +344 return f"({expression.this.name} * INTERVAL '7' day)" +345 return super().interval_sql(expression) +346 +347 def transaction_sql(self, expression: exp.Transaction) -> str: +348 modes = expression.args.get("modes") +349 modes = f" {', '.join(modes)}" if modes else "" +350 return f"START TRANSACTION{modes}"
191class Presto(Dialect): -192 index_offset = 1 -193 null_ordering = "nulls_are_last" -194 time_format = MySQL.time_format # type: ignore -195 time_mapping = MySQL.time_mapping # type: ignore -196 -197 class Tokenizer(tokens.Tokenizer): -198 KEYWORDS = { -199 **tokens.Tokenizer.KEYWORDS, -200 "START": TokenType.BEGIN, -201 "ROW": TokenType.STRUCT, -202 } -203 -204 class Parser(parser.Parser): -205 FUNCTIONS = { -206 **parser.Parser.FUNCTIONS, # type: ignore -207 "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list, -208 "CARDINALITY": exp.ArraySize.from_arg_list, -209 "CONTAINS": exp.ArrayContains.from_arg_list, -210 "DATE_ADD": lambda args: exp.DateAdd( -211 this=seq_get(args, 2), -212 expression=seq_get(args, 1), -213 unit=seq_get(args, 0), -214 ), -215 "DATE_DIFF": lambda args: exp.DateDiff( +@@ -625,12 +639,12 @@195class Presto(Dialect): +196 index_offset = 1 +197 null_ordering = "nulls_are_last" +198 time_format = MySQL.time_format # type: ignore +199 time_mapping = MySQL.time_mapping # type: ignore +200 +201 class Tokenizer(tokens.Tokenizer): +202 KEYWORDS = { +203 **tokens.Tokenizer.KEYWORDS, +204 "START": TokenType.BEGIN, +205 "ROW": TokenType.STRUCT, +206 } +207 +208 class Parser(parser.Parser): +209 FUNCTIONS = { +210 **parser.Parser.FUNCTIONS, # type: ignore +211 "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list, +212 "APPROX_PERCENTILE": _approx_percentile, +213 "CARDINALITY": exp.ArraySize.from_arg_list, +214 "CONTAINS": exp.ArrayContains.from_arg_list, +215 "DATE_ADD": lambda args: exp.DateAdd( 216 this=seq_get(args, 2), 217 expression=seq_get(args, 1), 218 unit=seq_get(args, 0), 219 ), -220 "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"), -221 "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"), -222 "DATE_TRUNC": date_trunc_to_time, -223 "FROM_UNIXTIME": _from_unixtime, -224 "NOW": exp.CurrentTimestamp.from_arg_list, -225 "STRPOS": lambda args: exp.StrPosition( -226 this=seq_get(args, 0), -227 substr=seq_get(args, 1), -228 instance=seq_get(args, 2), -229 ), -230 "TO_UNIXTIME": exp.TimeToUnix.from_arg_list, -231 "APPROX_PERCENTILE": _approx_percentile, -232 "FROM_HEX": exp.Unhex.from_arg_list, -233 "TO_HEX": exp.Hex.from_arg_list, -234 "TO_UTF8": lambda args: exp.Encode( -235 this=seq_get(args, 0), charset=exp.Literal.string("utf-8") -236 ), -237 "FROM_UTF8": lambda args: exp.Decode( -238 this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8") +220 "DATE_DIFF": lambda args: exp.DateDiff( +221 this=seq_get(args, 2), +222 expression=seq_get(args, 1), +223 unit=seq_get(args, 0), +224 ), +225 "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"), +226 "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"), +227 "DATE_TRUNC": date_trunc_to_time, +228 "FROM_HEX": exp.Unhex.from_arg_list, +229 "FROM_UNIXTIME": _from_unixtime, +230 "FROM_UTF8": lambda args: exp.Decode( +231 this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8") +232 ), +233 "NOW": exp.CurrentTimestamp.from_arg_list, +234 "SEQUENCE": exp.GenerateSeries.from_arg_list, +235 "STRPOS": lambda args: exp.StrPosition( +236 this=seq_get(args, 0), +237 substr=seq_get(args, 1), +238 instance=seq_get(args, 2), 239 ), -240 } -241 FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy() -242 FUNCTION_PARSERS.pop("TRIM") -243 -244 class Generator(generator.Generator): -245 INTERVAL_ALLOWS_PLURAL_FORM = False -246 JOIN_HINTS = False -247 TABLE_HINTS = False -248 STRUCT_DELIMITER = ("(", ")") -249 -250 PROPERTIES_LOCATION = { -251 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -252 exp.LocationProperty: exp.Properties.Location.UNSUPPORTED, -253 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -254 } -255 -256 TYPE_MAPPING = { -257 **generator.Generator.TYPE_MAPPING, # type: ignore -258 exp.DataType.Type.INT: "INTEGER", -259 exp.DataType.Type.FLOAT: "REAL", -260 exp.DataType.Type.BINARY: "VARBINARY", -261 exp.DataType.Type.TEXT: "VARCHAR", -262 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -263 exp.DataType.Type.STRUCT: "ROW", -264 } -265 -266 TRANSFORMS = { -267 **generator.Generator.TRANSFORMS, # type: ignore -268 **transforms.UNALIAS_GROUP, # type: ignore -269 exp.ApproxDistinct: _approx_distinct_sql, -270 exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]", -271 exp.ArrayConcat: rename_func("CONCAT"), -272 exp.ArrayContains: rename_func("CONTAINS"), -273 exp.ArraySize: rename_func("CARDINALITY"), -274 exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -275 exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -276 exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})", -277 exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -278 exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -279 exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -280 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -281 exp.DataType: _datatype_sql, -282 exp.DateAdd: lambda self, e: self.func( -283 "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this -284 ), -285 exp.DateDiff: lambda self, e: self.func( -286 "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this -287 ), -288 exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.date_format}) AS DATE)", -289 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.dateint_format}) AS INT)", -290 exp.Decode: _decode_sql, -291 exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.dateint_format}) AS DATE)", -292 exp.Encode: _encode_sql, -293 exp.GenerateSeries: _sequence_sql, -294 exp.Hex: rename_func("TO_HEX"), -295 exp.If: if_sql, -296 exp.ILike: no_ilike_sql, -297 exp.Initcap: _initcap_sql, -298 exp.Lateral: _explode_to_unnest_sql, -299 exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"), -300 exp.LogicalOr: rename_func("BOOL_OR"), -301 exp.LogicalAnd: rename_func("BOOL_AND"), -302 exp.Quantile: _quantile_sql, -303 exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"), -304 exp.SafeDivide: no_safe_divide_sql, -305 exp.Schema: _schema_sql, -306 exp.Select: transforms.preprocess( -307 [transforms.eliminate_qualify, transforms.explode_to_unnest] -308 ), -309 exp.SortArray: _no_sort_array, -310 exp.StrPosition: rename_func("STRPOS"), -311 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", -312 exp.StrToTime: _str_to_time_sql, -313 exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))", -314 exp.StructExtract: struct_extract_sql, -315 exp.TableFormatProperty: lambda self, e: f"TABLE_FORMAT='{e.name.upper()}'", -316 exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'", -317 exp.TimestampTrunc: timestamptrunc_sql, -318 exp.TimeStrToDate: timestrtotime_sql, -319 exp.TimeStrToTime: timestrtotime_sql, -320 exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.time_format}))", -321 exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})", -322 exp.TimeToUnix: rename_func("TO_UNIXTIME"), -323 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", -324 exp.TsOrDsAdd: _ts_or_ds_add_sql, -325 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, -326 exp.Unhex: rename_func("FROM_HEX"), -327 exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})", -328 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -329 exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)", -330 exp.VariancePop: rename_func("VAR_POP"), -331 } -332 -333 def interval_sql(self, expression: exp.Interval) -> str: -334 unit = self.sql(expression, "unit") -335 if expression.this and unit.lower().startswith("week"): -336 return f"({expression.this.name} * INTERVAL '7' day)" -337 return super().interval_sql(expression) -338 -339 def transaction_sql(self, expression: exp.Transaction) -> str: -340 modes = expression.args.get("modes") -341 modes = f" {', '.join(modes)}" if modes else "" -342 return f"START TRANSACTION{modes}" +240 "TO_UNIXTIME": exp.TimeToUnix.from_arg_list, +241 "TO_HEX": exp.Hex.from_arg_list, +242 "TO_UTF8": lambda args: exp.Encode( +243 this=seq_get(args, 0), charset=exp.Literal.string("utf-8") +244 ), +245 } +246 FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy() +247 FUNCTION_PARSERS.pop("TRIM") +248 +249 class Generator(generator.Generator): +250 INTERVAL_ALLOWS_PLURAL_FORM = False +251 JOIN_HINTS = False +252 TABLE_HINTS = False +253 STRUCT_DELIMITER = ("(", ")") +254 +255 PROPERTIES_LOCATION = { +256 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +257 exp.LocationProperty: exp.Properties.Location.UNSUPPORTED, +258 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +259 } +260 +261 TYPE_MAPPING = { +262 **generator.Generator.TYPE_MAPPING, # type: ignore +263 exp.DataType.Type.INT: "INTEGER", +264 exp.DataType.Type.FLOAT: "REAL", +265 exp.DataType.Type.BINARY: "VARBINARY", +266 exp.DataType.Type.TEXT: "VARCHAR", +267 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +268 exp.DataType.Type.STRUCT: "ROW", +269 } +270 +271 TRANSFORMS = { +272 **generator.Generator.TRANSFORMS, # type: ignore +273 exp.ApproxDistinct: _approx_distinct_sql, +274 exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]", +275 exp.ArrayConcat: rename_func("CONCAT"), +276 exp.ArrayContains: rename_func("CONTAINS"), +277 exp.ArraySize: rename_func("CARDINALITY"), +278 exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +279 exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +280 exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})", +281 exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +282 exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +283 exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +284 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +285 exp.DataType: _datatype_sql, +286 exp.DateAdd: lambda self, e: self.func( +287 "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this +288 ), +289 exp.DateDiff: lambda self, e: self.func( +290 "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this +291 ), +292 exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.date_format}) AS DATE)", +293 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.dateint_format}) AS INT)", +294 exp.Decode: _decode_sql, +295 exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.dateint_format}) AS DATE)", +296 exp.Encode: _encode_sql, +297 exp.GenerateSeries: _sequence_sql, +298 exp.Group: transforms.preprocess([transforms.unalias_group]), +299 exp.Hex: rename_func("TO_HEX"), +300 exp.If: if_sql, +301 exp.ILike: no_ilike_sql, +302 exp.Initcap: _initcap_sql, +303 exp.Lateral: _explode_to_unnest_sql, +304 exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"), +305 exp.LogicalOr: rename_func("BOOL_OR"), +306 exp.LogicalAnd: rename_func("BOOL_AND"), +307 exp.Quantile: _quantile_sql, +308 exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"), +309 exp.SafeDivide: no_safe_divide_sql, +310 exp.Schema: _schema_sql, +311 exp.Select: transforms.preprocess( +312 [ +313 transforms.eliminate_qualify, +314 transforms.eliminate_distinct_on, +315 transforms.explode_to_unnest, +316 ] +317 ), +318 exp.SortArray: _no_sort_array, +319 exp.StrPosition: rename_func("STRPOS"), +320 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", +321 exp.StrToTime: _str_to_time_sql, +322 exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))", +323 exp.StructExtract: struct_extract_sql, +324 exp.TableFormatProperty: lambda self, e: f"TABLE_FORMAT='{e.name.upper()}'", +325 exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'", +326 exp.TimestampTrunc: timestamptrunc_sql, +327 exp.TimeStrToDate: timestrtotime_sql, +328 exp.TimeStrToTime: timestrtotime_sql, +329 exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.time_format}))", +330 exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})", +331 exp.TimeToUnix: rename_func("TO_UNIXTIME"), +332 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", +333 exp.TsOrDsAdd: _ts_or_ds_add_sql, +334 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, +335 exp.Unhex: rename_func("FROM_HEX"), +336 exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})", +337 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +338 exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)", +339 exp.VariancePop: rename_func("VAR_POP"), +340 } +341 +342 def interval_sql(self, expression: exp.Interval) -> str: +343 unit = self.sql(expression, "unit") +344 if expression.this and unit.lower().startswith("week"): +345 return f"({expression.this.name} * INTERVAL '7' day)" +346 return super().interval_sql(expression) +347 +348 def transaction_sql(self, expression: exp.Transaction) -> str: +349 modes = expression.args.get("modes") +350 modes = f" {', '.join(modes)}" if modes else "" +351 return f"START TRANSACTION{modes}"
197 class Tokenizer(tokens.Tokenizer): -198 KEYWORDS = { -199 **tokens.Tokenizer.KEYWORDS, -200 "START": TokenType.BEGIN, -201 "ROW": TokenType.STRUCT, -202 } + @@ -658,45 +672,46 @@
204 class Parser(parser.Parser): -205 FUNCTIONS = { -206 **parser.Parser.FUNCTIONS, # type: ignore -207 "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list, -208 "CARDINALITY": exp.ArraySize.from_arg_list, -209 "CONTAINS": exp.ArrayContains.from_arg_list, -210 "DATE_ADD": lambda args: exp.DateAdd( -211 this=seq_get(args, 2), -212 expression=seq_get(args, 1), -213 unit=seq_get(args, 0), -214 ), -215 "DATE_DIFF": lambda args: exp.DateDiff( +@@ -753,105 +768,109 @@ Default: "nulls_are_small"208 class Parser(parser.Parser): +209 FUNCTIONS = { +210 **parser.Parser.FUNCTIONS, # type: ignore +211 "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list, +212 "APPROX_PERCENTILE": _approx_percentile, +213 "CARDINALITY": exp.ArraySize.from_arg_list, +214 "CONTAINS": exp.ArrayContains.from_arg_list, +215 "DATE_ADD": lambda args: exp.DateAdd( 216 this=seq_get(args, 2), 217 expression=seq_get(args, 1), 218 unit=seq_get(args, 0), 219 ), -220 "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"), -221 "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"), -222 "DATE_TRUNC": date_trunc_to_time, -223 "FROM_UNIXTIME": _from_unixtime, -224 "NOW": exp.CurrentTimestamp.from_arg_list, -225 "STRPOS": lambda args: exp.StrPosition( -226 this=seq_get(args, 0), -227 substr=seq_get(args, 1), -228 instance=seq_get(args, 2), -229 ), -230 "TO_UNIXTIME": exp.TimeToUnix.from_arg_list, -231 "APPROX_PERCENTILE": _approx_percentile, -232 "FROM_HEX": exp.Unhex.from_arg_list, -233 "TO_HEX": exp.Hex.from_arg_list, -234 "TO_UTF8": lambda args: exp.Encode( -235 this=seq_get(args, 0), charset=exp.Literal.string("utf-8") -236 ), -237 "FROM_UTF8": lambda args: exp.Decode( -238 this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8") +220 "DATE_DIFF": lambda args: exp.DateDiff( +221 this=seq_get(args, 2), +222 expression=seq_get(args, 1), +223 unit=seq_get(args, 0), +224 ), +225 "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"), +226 "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"), +227 "DATE_TRUNC": date_trunc_to_time, +228 "FROM_HEX": exp.Unhex.from_arg_list, +229 "FROM_UNIXTIME": _from_unixtime, +230 "FROM_UTF8": lambda args: exp.Decode( +231 this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8") +232 ), +233 "NOW": exp.CurrentTimestamp.from_arg_list, +234 "SEQUENCE": exp.GenerateSeries.from_arg_list, +235 "STRPOS": lambda args: exp.StrPosition( +236 this=seq_get(args, 0), +237 substr=seq_get(args, 1), +238 instance=seq_get(args, 2), 239 ), -240 } -241 FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy() -242 FUNCTION_PARSERS.pop("TRIM") +240 "TO_UNIXTIME": exp.TimeToUnix.from_arg_list, +241 "TO_HEX": exp.Hex.from_arg_list, +242 "TO_UTF8": lambda args: exp.Encode( +243 this=seq_get(args, 0), charset=exp.Literal.string("utf-8") +244 ), +245 } +246 FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy() +247 FUNCTION_PARSERS.pop("TRIM")
244 class Generator(generator.Generator): -245 INTERVAL_ALLOWS_PLURAL_FORM = False -246 JOIN_HINTS = False -247 TABLE_HINTS = False -248 STRUCT_DELIMITER = ("(", ")") -249 -250 PROPERTIES_LOCATION = { -251 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -252 exp.LocationProperty: exp.Properties.Location.UNSUPPORTED, -253 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -254 } -255 -256 TYPE_MAPPING = { -257 **generator.Generator.TYPE_MAPPING, # type: ignore -258 exp.DataType.Type.INT: "INTEGER", -259 exp.DataType.Type.FLOAT: "REAL", -260 exp.DataType.Type.BINARY: "VARBINARY", -261 exp.DataType.Type.TEXT: "VARCHAR", -262 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -263 exp.DataType.Type.STRUCT: "ROW", -264 } -265 -266 TRANSFORMS = { -267 **generator.Generator.TRANSFORMS, # type: ignore -268 **transforms.UNALIAS_GROUP, # type: ignore -269 exp.ApproxDistinct: _approx_distinct_sql, -270 exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]", -271 exp.ArrayConcat: rename_func("CONCAT"), -272 exp.ArrayContains: rename_func("CONTAINS"), -273 exp.ArraySize: rename_func("CARDINALITY"), -274 exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -275 exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -276 exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})", -277 exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -278 exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -279 exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -280 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -281 exp.DataType: _datatype_sql, -282 exp.DateAdd: lambda self, e: self.func( -283 "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this -284 ), -285 exp.DateDiff: lambda self, e: self.func( -286 "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this -287 ), -288 exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.date_format}) AS DATE)", -289 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.dateint_format}) AS INT)", -290 exp.Decode: _decode_sql, -291 exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.dateint_format}) AS DATE)", -292 exp.Encode: _encode_sql, -293 exp.GenerateSeries: _sequence_sql, -294 exp.Hex: rename_func("TO_HEX"), -295 exp.If: if_sql, -296 exp.ILike: no_ilike_sql, -297 exp.Initcap: _initcap_sql, -298 exp.Lateral: _explode_to_unnest_sql, -299 exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"), -300 exp.LogicalOr: rename_func("BOOL_OR"), -301 exp.LogicalAnd: rename_func("BOOL_AND"), -302 exp.Quantile: _quantile_sql, -303 exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"), -304 exp.SafeDivide: no_safe_divide_sql, -305 exp.Schema: _schema_sql, -306 exp.Select: transforms.preprocess( -307 [transforms.eliminate_qualify, transforms.explode_to_unnest] -308 ), -309 exp.SortArray: _no_sort_array, -310 exp.StrPosition: rename_func("STRPOS"), -311 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", -312 exp.StrToTime: _str_to_time_sql, -313 exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))", -314 exp.StructExtract: struct_extract_sql, -315 exp.TableFormatProperty: lambda self, e: f"TABLE_FORMAT='{e.name.upper()}'", -316 exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'", -317 exp.TimestampTrunc: timestamptrunc_sql, -318 exp.TimeStrToDate: timestrtotime_sql, -319 exp.TimeStrToTime: timestrtotime_sql, -320 exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.time_format}))", -321 exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})", -322 exp.TimeToUnix: rename_func("TO_UNIXTIME"), -323 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", -324 exp.TsOrDsAdd: _ts_or_ds_add_sql, -325 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, -326 exp.Unhex: rename_func("FROM_HEX"), -327 exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})", -328 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -329 exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)", -330 exp.VariancePop: rename_func("VAR_POP"), -331 } -332 -333 def interval_sql(self, expression: exp.Interval) -> str: -334 unit = self.sql(expression, "unit") -335 if expression.this and unit.lower().startswith("week"): -336 return f"({expression.this.name} * INTERVAL '7' day)" -337 return super().interval_sql(expression) -338 -339 def transaction_sql(self, expression: exp.Transaction) -> str: -340 modes = expression.args.get("modes") -341 modes = f" {', '.join(modes)}" if modes else "" -342 return f"START TRANSACTION{modes}" +@@ -910,11 +929,11 @@ Default: True249 class Generator(generator.Generator): +250 INTERVAL_ALLOWS_PLURAL_FORM = False +251 JOIN_HINTS = False +252 TABLE_HINTS = False +253 STRUCT_DELIMITER = ("(", ")") +254 +255 PROPERTIES_LOCATION = { +256 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +257 exp.LocationProperty: exp.Properties.Location.UNSUPPORTED, +258 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +259 } +260 +261 TYPE_MAPPING = { +262 **generator.Generator.TYPE_MAPPING, # type: ignore +263 exp.DataType.Type.INT: "INTEGER", +264 exp.DataType.Type.FLOAT: "REAL", +265 exp.DataType.Type.BINARY: "VARBINARY", +266 exp.DataType.Type.TEXT: "VARCHAR", +267 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +268 exp.DataType.Type.STRUCT: "ROW", +269 } +270 +271 TRANSFORMS = { +272 **generator.Generator.TRANSFORMS, # type: ignore +273 exp.ApproxDistinct: _approx_distinct_sql, +274 exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]", +275 exp.ArrayConcat: rename_func("CONCAT"), +276 exp.ArrayContains: rename_func("CONTAINS"), +277 exp.ArraySize: rename_func("CARDINALITY"), +278 exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +279 exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +280 exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})", +281 exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +282 exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +283 exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +284 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +285 exp.DataType: _datatype_sql, +286 exp.DateAdd: lambda self, e: self.func( +287 "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this +288 ), +289 exp.DateDiff: lambda self, e: self.func( +290 "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this +291 ), +292 exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.date_format}) AS DATE)", +293 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.dateint_format}) AS INT)", +294 exp.Decode: _decode_sql, +295 exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.dateint_format}) AS DATE)", +296 exp.Encode: _encode_sql, +297 exp.GenerateSeries: _sequence_sql, +298 exp.Group: transforms.preprocess([transforms.unalias_group]), +299 exp.Hex: rename_func("TO_HEX"), +300 exp.If: if_sql, +301 exp.ILike: no_ilike_sql, +302 exp.Initcap: _initcap_sql, +303 exp.Lateral: _explode_to_unnest_sql, +304 exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"), +305 exp.LogicalOr: rename_func("BOOL_OR"), +306 exp.LogicalAnd: rename_func("BOOL_AND"), +307 exp.Quantile: _quantile_sql, +308 exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"), +309 exp.SafeDivide: no_safe_divide_sql, +310 exp.Schema: _schema_sql, +311 exp.Select: transforms.preprocess( +312 [ +313 transforms.eliminate_qualify, +314 transforms.eliminate_distinct_on, +315 transforms.explode_to_unnest, +316 ] +317 ), +318 exp.SortArray: _no_sort_array, +319 exp.StrPosition: rename_func("STRPOS"), +320 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", +321 exp.StrToTime: _str_to_time_sql, +322 exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))", +323 exp.StructExtract: struct_extract_sql, +324 exp.TableFormatProperty: lambda self, e: f"TABLE_FORMAT='{e.name.upper()}'", +325 exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'", +326 exp.TimestampTrunc: timestamptrunc_sql, +327 exp.TimeStrToDate: timestrtotime_sql, +328 exp.TimeStrToTime: timestrtotime_sql, +329 exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.time_format}))", +330 exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})", +331 exp.TimeToUnix: rename_func("TO_UNIXTIME"), +332 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", +333 exp.TsOrDsAdd: _ts_or_ds_add_sql, +334 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, +335 exp.Unhex: rename_func("FROM_HEX"), +336 exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})", +337 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +338 exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)", +339 exp.VariancePop: rename_func("VAR_POP"), +340 } +341 +342 def interval_sql(self, expression: exp.Interval) -> str: +343 unit = self.sql(expression, "unit") +344 if expression.this and unit.lower().startswith("week"): +345 return f"({expression.this.name} * INTERVAL '7' day)" +346 return super().interval_sql(expression) +347 +348 def transaction_sql(self, expression: exp.Transaction) -> str: +349 modes = expression.args.get("modes") +350 modes = f" {', '.join(modes)}" if modes else "" +351 return f"START TRANSACTION{modes}"
333 def interval_sql(self, expression: exp.Interval) -> str: -334 unit = self.sql(expression, "unit") -335 if expression.this and unit.lower().startswith("week"): -336 return f"({expression.this.name} * INTERVAL '7' day)" -337 return super().interval_sql(expression) + @@ -932,10 +951,10 @@ Default: True
339 def transaction_sql(self, expression: exp.Transaction) -> str: -340 modes = expression.args.get("modes") -341 modes = f" {', '.join(modes)}" if modes else "" -342 return f"START TRANSACTION{modes}" +@@ -1066,7 +1085,7 @@ Default: True348 def transaction_sql(self, expression: exp.Transaction) -> str: +349 modes = expression.args.get("modes") +350 modes = f" {', '.join(modes)}" if modes else "" +351 return f"START TRANSACTION{modes}"where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -1075,6 +1094,7 @@ Default: Trueexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/redshift.html b/docs/sqlglot/dialects/redshift.html index 825d63c..ee4f196 100644 --- a/docs/sqlglot/dialects/redshift.html +++ b/docs/sqlglot/dialects/redshift.html @@ -181,18 +181,18 @@ 90 91 TRANSFORMS = { 92 **Postgres.Generator.TRANSFORMS, # type: ignore - 93 **transforms.ELIMINATE_DISTINCT_ON, # type: ignore - 94 exp.CurrentTimestamp: lambda self, e: "SYSDATE", - 95 exp.DateAdd: lambda self, e: self.func( - 96 "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this - 97 ), - 98 exp.DateDiff: lambda self, e: self.func( - 99 "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this -100 ), -101 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", -102 exp.DistStyleProperty: lambda self, e: self.naked_property(e), -103 exp.JSONExtract: _json_sql, -104 exp.JSONExtractScalar: _json_sql, + 93 exp.CurrentTimestamp: lambda self, e: "SYSDATE", + 94 exp.DateAdd: lambda self, e: self.func( + 95 "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this + 96 ), + 97 exp.DateDiff: lambda self, e: self.func( + 98 "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this + 99 ), +100 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", +101 exp.DistStyleProperty: lambda self, e: self.naked_property(e), +102 exp.JSONExtract: _json_sql, +103 exp.JSONExtractScalar: _json_sql, +104 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), 105 exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})", 106 } 107 @@ -347,18 +347,18 @@ 91 92 TRANSFORMS = { 93 **Postgres.Generator.TRANSFORMS, # type: ignore - 94 **transforms.ELIMINATE_DISTINCT_ON, # type: ignore - 95 exp.CurrentTimestamp: lambda self, e: "SYSDATE", - 96 exp.DateAdd: lambda self, e: self.func( - 97 "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this - 98 ), - 99 exp.DateDiff: lambda self, e: self.func( -100 "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this -101 ), -102 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", -103 exp.DistStyleProperty: lambda self, e: self.naked_property(e), -104 exp.JSONExtract: _json_sql, -105 exp.JSONExtractScalar: _json_sql, + 94 exp.CurrentTimestamp: lambda self, e: "SYSDATE", + 95 exp.DateAdd: lambda self, e: self.func( + 96 "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this + 97 ), + 98 exp.DateDiff: lambda self, e: self.func( + 99 "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this +100 ), +101 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", +102 exp.DistStyleProperty: lambda self, e: self.naked_property(e), +103 exp.JSONExtract: _json_sql, +104 exp.JSONExtractScalar: _json_sql, +105 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), 106 exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})", 107 } 108 @@ -605,18 +605,18 @@ Default: "nulls_are_small" 91 92 TRANSFORMS = { 93 **Postgres.Generator.TRANSFORMS, # type: ignore - 94 **transforms.ELIMINATE_DISTINCT_ON, # type: ignore - 95 exp.CurrentTimestamp: lambda self, e: "SYSDATE", - 96 exp.DateAdd: lambda self, e: self.func( - 97 "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this - 98 ), - 99 exp.DateDiff: lambda self, e: self.func( -100 "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this -101 ), -102 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", -103 exp.DistStyleProperty: lambda self, e: self.naked_property(e), -104 exp.JSONExtract: _json_sql, -105 exp.JSONExtractScalar: _json_sql, + 94 exp.CurrentTimestamp: lambda self, e: "SYSDATE", + 95 exp.DateAdd: lambda self, e: self.func( + 96 "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this + 97 ), + 98 exp.DateDiff: lambda self, e: self.func( + 99 "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this +100 ), +101 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", +102 exp.DistStyleProperty: lambda self, e: self.naked_property(e), +103 exp.JSONExtract: _json_sql, +104 exp.JSONExtractScalar: _json_sql, +105 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), 106 exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})", 107 } 108 @@ -979,7 +979,7 @@ without precision we convert it toVARCHAR(max)
and if it does havewhere_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -988,6 +988,7 @@ without precision we convert it toVARCHAR(max)
and if it does haveexists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/snowflake.html b/docs/sqlglot/dialects/snowflake.html index 28bfb8c..3946925 100644 --- a/docs/sqlglot/dialects/snowflake.html +++ b/docs/sqlglot/dialects/snowflake.html @@ -102,7 +102,7 @@ 2 3import typing as t 4 - 5from sqlglot import exp, generator, parser, tokens + 5from sqlglot import exp, generator, parser, tokens, transforms 6from sqlglot.dialects.dialect import ( 7 Dialect, 8 date_trunc_to_time, @@ -405,112 +405,113 @@ 305 exp.Max: max_or_greatest, 306 exp.Min: min_or_least, 307 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", -308 exp.StarMap: rename_func("OBJECT_CONSTRUCT"), -309 exp.StrPosition: lambda self, e: self.func( -310 "POSITION", e.args.get("substr"), e.this, e.args.get("position") -311 ), -312 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -313 exp.TimeStrToTime: timestrtotime_sql, -314 exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})", -315 exp.TimeToStr: lambda self, e: self.func( -316 "TO_CHAR", exp.cast(e.this, "timestamp"), self.format_time(e) -317 ), -318 exp.TimestampTrunc: timestamptrunc_sql, -319 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -320 exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression), -321 exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"), -322 exp.UnixToTime: _unix_to_time_sql, -323 exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"), -324 } -325 -326 TYPE_MAPPING = { -327 **generator.Generator.TYPE_MAPPING, # type: ignore -328 exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ", -329 } -330 -331 STAR_MAPPING = { -332 "except": "EXCLUDE", -333 "replace": "RENAME", -334 } -335 -336 PROPERTIES_LOCATION = { -337 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -338 exp.SetProperty: exp.Properties.Location.UNSUPPORTED, -339 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -340 } -341 -342 def except_op(self, expression: exp.Except) -> str: -343 if not expression.args.get("distinct", False): -344 self.unsupported("EXCEPT with All is not supported in Snowflake") -345 return super().except_op(expression) -346 -347 def intersect_op(self, expression: exp.Intersect) -> str: -348 if not expression.args.get("distinct", False): -349 self.unsupported("INTERSECT with All is not supported in Snowflake") -350 return super().intersect_op(expression) -351 -352 def values_sql(self, expression: exp.Values) -> str: -353 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted. -354 -355 We also want to make sure that after we find matches where we need to unquote a column that we prevent users -356 from adding quotes to the column by using the `identify` argument when generating the SQL. -357 """ -358 alias = expression.args.get("alias") -359 if alias and alias.args.get("columns"): -360 expression = expression.transform( -361 lambda node: exp.Identifier(**{**node.args, "quoted": False}) -362 if isinstance(node, exp.Identifier) -363 and isinstance(node.parent, exp.TableAlias) -364 and node.arg_key == "columns" -365 else node, -366 ) -367 return self.no_identify(lambda: super(self.__class__, self).values_sql(expression)) -368 return super().values_sql(expression) -369 -370 def settag_sql(self, expression: exp.SetTag) -> str: -371 action = "UNSET" if expression.args.get("unset") else "SET" -372 return f"{action} TAG {self.expressions(expression)}" -373 -374 def select_sql(self, expression: exp.Select) -> str: -375 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also -376 that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need -377 to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when -378 generating the SQL. -379 -380 Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the -381 expression. This might not be true in a case where the same column name can be sourced from another table that can -382 properly quote but should be true in most cases. -383 """ -384 values_identifiers = set( -385 flatten( -386 (v.args.get("alias") or exp.Alias()).args.get("columns", []) -387 for v in expression.find_all(exp.Values) -388 ) -389 ) -390 if values_identifiers: -391 expression = expression.transform( -392 lambda node: exp.Identifier(**{**node.args, "quoted": False}) -393 if isinstance(node, exp.Identifier) and node in values_identifiers -394 else node, -395 ) -396 return self.no_identify(lambda: super(self.__class__, self).select_sql(expression)) -397 return super().select_sql(expression) -398 -399 def describe_sql(self, expression: exp.Describe) -> str: -400 # Default to table if kind is unknown -401 kind_value = expression.args.get("kind") or "TABLE" -402 kind = f" {kind_value}" if kind_value else "" -403 this = f" {self.sql(expression, 'this')}" -404 return f"DESCRIBE{kind}{this}" -405 -406 def generatedasidentitycolumnconstraint_sql( -407 self, expression: exp.GeneratedAsIdentityColumnConstraint -408 ) -> str: -409 start = expression.args.get("start") -410 start = f" START {start}" if start else "" -411 increment = expression.args.get("increment") -412 increment = f" INCREMENT {increment}" if increment else "" -413 return f"AUTOINCREMENT{start}{increment}" +308 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +309 exp.StarMap: rename_func("OBJECT_CONSTRUCT"), +310 exp.StrPosition: lambda self, e: self.func( +311 "POSITION", e.args.get("substr"), e.this, e.args.get("position") +312 ), +313 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +314 exp.TimeStrToTime: timestrtotime_sql, +315 exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})", +316 exp.TimeToStr: lambda self, e: self.func( +317 "TO_CHAR", exp.cast(e.this, "timestamp"), self.format_time(e) +318 ), +319 exp.TimestampTrunc: timestamptrunc_sql, +320 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +321 exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression), +322 exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"), +323 exp.UnixToTime: _unix_to_time_sql, +324 exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"), +325 } +326 +327 TYPE_MAPPING = { +328 **generator.Generator.TYPE_MAPPING, # type: ignore +329 exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ", +330 } +331 +332 STAR_MAPPING = { +333 "except": "EXCLUDE", +334 "replace": "RENAME", +335 } +336 +337 PROPERTIES_LOCATION = { +338 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +339 exp.SetProperty: exp.Properties.Location.UNSUPPORTED, +340 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +341 } +342 +343 def except_op(self, expression: exp.Except) -> str: +344 if not expression.args.get("distinct", False): +345 self.unsupported("EXCEPT with All is not supported in Snowflake") +346 return super().except_op(expression) +347 +348 def intersect_op(self, expression: exp.Intersect) -> str: +349 if not expression.args.get("distinct", False): +350 self.unsupported("INTERSECT with All is not supported in Snowflake") +351 return super().intersect_op(expression) +352 +353 def values_sql(self, expression: exp.Values) -> str: +354 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted. +355 +356 We also want to make sure that after we find matches where we need to unquote a column that we prevent users +357 from adding quotes to the column by using the `identify` argument when generating the SQL. +358 """ +359 alias = expression.args.get("alias") +360 if alias and alias.args.get("columns"): +361 expression = expression.transform( +362 lambda node: exp.Identifier(**{**node.args, "quoted": False}) +363 if isinstance(node, exp.Identifier) +364 and isinstance(node.parent, exp.TableAlias) +365 and node.arg_key == "columns" +366 else node, +367 ) +368 return self.no_identify(lambda: super(self.__class__, self).values_sql(expression)) +369 return super().values_sql(expression) +370 +371 def settag_sql(self, expression: exp.SetTag) -> str: +372 action = "UNSET" if expression.args.get("unset") else "SET" +373 return f"{action} TAG {self.expressions(expression)}" +374 +375 def select_sql(self, expression: exp.Select) -> str: +376 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also +377 that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need +378 to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when +379 generating the SQL. +380 +381 Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the +382 expression. This might not be true in a case where the same column name can be sourced from another table that can +383 properly quote but should be true in most cases. +384 """ +385 values_identifiers = set( +386 flatten( +387 (v.args.get("alias") or exp.Alias()).args.get("columns", []) +388 for v in expression.find_all(exp.Values) +389 ) +390 ) +391 if values_identifiers: +392 expression = expression.transform( +393 lambda node: exp.Identifier(**{**node.args, "quoted": False}) +394 if isinstance(node, exp.Identifier) and node in values_identifiers +395 else node, +396 ) +397 return self.no_identify(lambda: super(self.__class__, self).select_sql(expression)) +398 return super().select_sql(expression) +399 +400 def describe_sql(self, expression: exp.Describe) -> str: +401 # Default to table if kind is unknown +402 kind_value = expression.args.get("kind") or "TABLE" +403 kind = f" {kind_value}" if kind_value else "" +404 this = f" {self.sql(expression, 'this')}" +405 return f"DESCRIBE{kind}{this}" +406 +407 def generatedasidentitycolumnconstraint_sql( +408 self, expression: exp.GeneratedAsIdentityColumnConstraint +409 ) -> str: +410 start = expression.args.get("start") +411 start = f" START {start}" if start else "" +412 increment = expression.args.get("increment") +413 increment = f" INCREMENT {increment}" if increment else "" +414 return f"AUTOINCREMENT{start}{increment}"
343 def except_op(self, expression: exp.Except) -> str: -344 if not expression.args.get("distinct", False): -345 self.unsupported("EXCEPT with All is not supported in Snowflake") -346 return super().except_op(expression) + @@ -1223,10 +1226,10 @@ Default: True
348 def intersect_op(self, expression: exp.Intersect) -> str: -349 if not expression.args.get("distinct", False): -350 self.unsupported("INTERSECT with All is not supported in Snowflake") -351 return super().intersect_op(expression) + @@ -1244,23 +1247,23 @@ Default: True
353 def values_sql(self, expression: exp.Values) -> str: -354 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted. -355 -356 We also want to make sure that after we find matches where we need to unquote a column that we prevent users -357 from adding quotes to the column by using the `identify` argument when generating the SQL. -358 """ -359 alias = expression.args.get("alias") -360 if alias and alias.args.get("columns"): -361 expression = expression.transform( -362 lambda node: exp.Identifier(**{**node.args, "quoted": False}) -363 if isinstance(node, exp.Identifier) -364 and isinstance(node.parent, exp.TableAlias) -365 and node.arg_key == "columns" -366 else node, -367 ) -368 return self.no_identify(lambda: super(self.__class__, self).values_sql(expression)) -369 return super().values_sql(expression) +@@ -1283,9 +1286,9 @@ from adding quotes to the column by using the354 def values_sql(self, expression: exp.Values) -> str: +355 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted. +356 +357 We also want to make sure that after we find matches where we need to unquote a column that we prevent users +358 from adding quotes to the column by using the `identify` argument when generating the SQL. +359 """ +360 alias = expression.args.get("alias") +361 if alias and alias.args.get("columns"): +362 expression = expression.transform( +363 lambda node: exp.Identifier(**{**node.args, "quoted": False}) +364 if isinstance(node, exp.Identifier) +365 and isinstance(node.parent, exp.TableAlias) +366 and node.arg_key == "columns" +367 else node, +368 ) +369 return self.no_identify(lambda: super(self.__class__, self).values_sql(expression)) +370 return super().values_sql(expression)identify
argument whe
371 def settag_sql(self, expression: exp.SetTag) -> str: -372 action = "UNSET" if expression.args.get("unset") else "SET" -373 return f"{action} TAG {self.expressions(expression)}" +@@ -1303,30 +1306,30 @@ from adding quotes to the column by using the372 def settag_sql(self, expression: exp.SetTag) -> str: +373 action = "UNSET" if expression.args.get("unset") else "SET" +374 return f"{action} TAG {self.expressions(expression)}"identify
argument whe
375 def select_sql(self, expression: exp.Select) -> str: -376 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also -377 that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need -378 to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when -379 generating the SQL. -380 -381 Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the -382 expression. This might not be true in a case where the same column name can be sourced from another table that can -383 properly quote but should be true in most cases. -384 """ -385 values_identifiers = set( -386 flatten( -387 (v.args.get("alias") or exp.Alias()).args.get("columns", []) -388 for v in expression.find_all(exp.Values) -389 ) -390 ) -391 if values_identifiers: -392 expression = expression.transform( -393 lambda node: exp.Identifier(**{**node.args, "quoted": False}) -394 if isinstance(node, exp.Identifier) and node in values_identifiers -395 else node, -396 ) -397 return self.no_identify(lambda: super(self.__class__, self).select_sql(expression)) -398 return super().select_sql(expression) +@@ -1353,12 +1356,12 @@ properly quote but should be true in most cases.376 def select_sql(self, expression: exp.Select) -> str: +377 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also +378 that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need +379 to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when +380 generating the SQL. +381 +382 Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the +383 expression. This might not be true in a case where the same column name can be sourced from another table that can +384 properly quote but should be true in most cases. +385 """ +386 values_identifiers = set( +387 flatten( +388 (v.args.get("alias") or exp.Alias()).args.get("columns", []) +389 for v in expression.find_all(exp.Values) +390 ) +391 ) +392 if values_identifiers: +393 expression = expression.transform( +394 lambda node: exp.Identifier(**{**node.args, "quoted": False}) +395 if isinstance(node, exp.Identifier) and node in values_identifiers +396 else node, +397 ) +398 return self.no_identify(lambda: super(self.__class__, self).select_sql(expression)) +399 return super().select_sql(expression)
400 def describe_sql(self, expression: exp.Describe) -> str: -401 # Default to table if kind is unknown -402 kind_value = expression.args.get("kind") or "TABLE" -403 kind = f" {kind_value}" if kind_value else "" -404 this = f" {self.sql(expression, 'this')}" -405 return f"DESCRIBE{kind}{this}" + @@ -1376,14 +1379,14 @@ properly quote but should be true in most cases.
407 def generatedasidentitycolumnconstraint_sql( -408 self, expression: exp.GeneratedAsIdentityColumnConstraint -409 ) -> str: -410 start = expression.args.get("start") -411 start = f" START {start}" if start else "" -412 increment = expression.args.get("increment") -413 increment = f" INCREMENT {increment}" if increment else "" -414 return f"AUTOINCREMENT{start}{increment}" +@@ -1508,7 +1511,7 @@ properly quote but should be true in most cases.408 def generatedasidentitycolumnconstraint_sql( +409 self, expression: exp.GeneratedAsIdentityColumnConstraint +410 ) -> str: +411 start = expression.args.get("start") +412 start = f" START {start}" if start else "" +413 increment = expression.args.get("increment") +414 increment = f" INCREMENT {increment}" if increment else "" +415 return f"AUTOINCREMENT{start}{increment}"where_sql window_sql partition_by_sql -window_spec_sql +windowspec_sql withingroup_sql between_sql bracket_sql @@ -1517,6 +1520,7 @@ properly quote but should be true in most cases.exists_sql case_sql constraint_sql +nextvaluefor_sql extract_sql trim_sql concat_sql diff --git a/docs/sqlglot/dialects/spark.html b/docs/sqlglot/dialects/spark.html index bc53a56..d29015b 100644 --- a/docs/sqlglot/dialects/spark.html +++ b/docs/sqlglot/dialects/spark.html @@ -43,17 +43,11 @@ Spark.Generator-
- - cast_sql + datediff_sql
- Spark.Tokenizer - @@ -80,229 +74,61 @@ --
- -1from __future__ import annotations - 2 - 3import typing as t - 4 - 5from sqlglot import exp, parser - 6from sqlglot.dialects.dialect import create_with_partitions_sql, rename_func, trim_sql - 7from sqlglot.dialects.hive import Hive - 8from sqlglot.helper import seq_get - 9 - 10 - 11def _create_sql(self: Hive.Generator, e: exp.Create) -> str: - 12 kind = e.args["kind"] - 13 properties = e.args.get("properties") - 14 - 15 if kind.upper() == "TABLE" and any( - 16 isinstance(prop, exp.TemporaryProperty) - 17 for prop in (properties.expressions if properties else []) - 18 ): - 19 return f"CREATE TEMPORARY VIEW {self.sql(e, 'this')} AS {self.sql(e, 'expression')}" - 20 return create_with_partitions_sql(self, e) - 21 - 22 - 23def _map_sql(self: Hive.Generator, expression: exp.Map) -> str: - 24 keys = self.sql(expression.args["keys"]) - 25 values = self.sql(expression.args["values"]) - 26 return f"MAP_FROM_ARRAYS({keys}, {values})" - 27 - 28 - 29def _str_to_date(self: Hive.Generator, expression: exp.StrToDate) -> str: - 30 this = self.sql(expression, "this") - 31 time_format = self.format_time(expression) - 32 if time_format == Hive.date_format: - 33 return f"TO_DATE({this})" - 34 return f"TO_DATE({this}, {time_format})" - 35 - 36 - 37def _unix_to_time_sql(self: Hive.Generator, expression: exp.UnixToTime) -> str: - 38 scale = expression.args.get("scale") - 39 timestamp = self.sql(expression, "this") - 40 if scale is None: - 41 return f"FROM_UNIXTIME({timestamp})" - 42 if scale == exp.UnixToTime.SECONDS: - 43 return f"TIMESTAMP_SECONDS({timestamp})" - 44 if scale == exp.UnixToTime.MILLIS: - 45 return f"TIMESTAMP_MILLIS({timestamp})" - 46 if scale == exp.UnixToTime.MICROS: - 47 return f"TIMESTAMP_MICROS({timestamp})" - 48 - 49 raise ValueError("Improper scale for timestamp") - 50 - 51 - 52class Spark(Hive): - 53 class Parser(Hive.Parser): - 54 FUNCTIONS = { - 55 **Hive.Parser.FUNCTIONS, # type: ignore - 56 "MAP_FROM_ARRAYS": exp.Map.from_arg_list, - 57 "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list, - 58 "LEFT": lambda args: exp.Substring( - 59 this=seq_get(args, 0), - 60 start=exp.Literal.number(1), - 61 length=seq_get(args, 1), - 62 ), - 63 "SHIFTLEFT": lambda args: exp.BitwiseLeftShift( - 64 this=seq_get(args, 0), - 65 expression=seq_get(args, 1), - 66 ), - 67 "SHIFTRIGHT": lambda args: exp.BitwiseRightShift( - 68 this=seq_get(args, 0), - 69 expression=seq_get(args, 1), - 70 ), - 71 "RIGHT": lambda args: exp.Substring( - 72 this=seq_get(args, 0), - 73 start=exp.Sub( - 74 this=exp.Length(this=seq_get(args, 0)), - 75 expression=exp.Add(this=seq_get(args, 1), expression=exp.Literal.number(1)), - 76 ), - 77 length=seq_get(args, 1), - 78 ), - 79 "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list, - 80 "BOOLEAN": lambda args: exp.Cast( - 81 this=seq_get(args, 0), to=exp.DataType.build("boolean") - 82 ), - 83 "IIF": exp.If.from_arg_list, - 84 "INT": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("int")), - 85 "AGGREGATE": exp.Reduce.from_arg_list, - 86 "DAYOFWEEK": lambda args: exp.DayOfWeek( - 87 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 88 ), - 89 "DAYOFMONTH": lambda args: exp.DayOfMonth( - 90 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 91 ), - 92 "DAYOFYEAR": lambda args: exp.DayOfYear( - 93 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 94 ), - 95 "WEEKOFYEAR": lambda args: exp.WeekOfYear( - 96 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 97 ), - 98 "DATE": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("date")), - 99 "DATE_TRUNC": lambda args: exp.TimestampTrunc( -100 this=seq_get(args, 1), -101 unit=exp.var(seq_get(args, 0)), -102 ), -103 "STRING": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("string")), -104 "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)), -105 "TIMESTAMP": lambda args: exp.Cast( -106 this=seq_get(args, 0), to=exp.DataType.build("timestamp") -107 ), -108 } -109 -110 FUNCTION_PARSERS = { -111 **parser.Parser.FUNCTION_PARSERS, # type: ignore -112 "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"), -113 "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"), -114 "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"), -115 "MERGE": lambda self: self._parse_join_hint("MERGE"), -116 "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"), -117 "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"), -118 "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"), -119 "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"), -120 } -121 -122 def _parse_add_column(self) -> t.Optional[exp.Expression]: -123 return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema() -124 -125 def _parse_drop_column(self) -> t.Optional[exp.Expression]: -126 return self._match_text_seq("DROP", "COLUMNS") and self.expression( -127 exp.Drop, -128 this=self._parse_schema(), -129 kind="COLUMNS", -130 ) -131 -132 def _pivot_column_names(self, pivot_columns: t.List[exp.Expression]) -> t.List[str]: -133 # Spark doesn't add a suffix to the pivot columns when there's a single aggregation -134 if len(pivot_columns) == 1: -135 return [""] -136 -137 names = [] -138 for agg in pivot_columns: -139 if isinstance(agg, exp.Alias): -140 names.append(agg.alias) -141 else: -142 """ -143 This case corresponds to aggregations without aliases being used as suffixes -144 (e.g. col_avg(foo)). We need to unquote identifiers because they're going to -145 be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`. -146 Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes). -147 -148 Moreover, function names are lowercased in order to mimic Spark's naming scheme. -149 """ -150 agg_all_unquoted = agg.transform( -151 lambda node: exp.Identifier(this=node.name, quoted=False) -152 if isinstance(node, exp.Identifier) -153 else node -154 ) -155 names.append(agg_all_unquoted.sql(dialect="spark", normalize_functions="lower")) -156 -157 return names -158 -159 class Generator(Hive.Generator): -160 TYPE_MAPPING = { -161 **Hive.Generator.TYPE_MAPPING, # type: ignore -162 exp.DataType.Type.TINYINT: "BYTE", -163 exp.DataType.Type.SMALLINT: "SHORT", -164 exp.DataType.Type.BIGINT: "LONG", -165 } -166 -167 PROPERTIES_LOCATION = { -168 **Hive.Generator.PROPERTIES_LOCATION, # type: ignore -169 exp.EngineProperty: exp.Properties.Location.UNSUPPORTED, -170 exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED, -171 exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED, -172 exp.CollateProperty: exp.Properties.Location.UNSUPPORTED, -173 } -174 -175 TRANSFORMS = { -176 **Hive.Generator.TRANSFORMS, # type: ignore -177 exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"), -178 exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}", -179 exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)", -180 exp.BitwiseLeftShift: rename_func("SHIFTLEFT"), -181 exp.BitwiseRightShift: rename_func("SHIFTRIGHT"), -182 exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")), -183 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", -184 exp.StrToDate: _str_to_date, -185 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -186 exp.UnixToTime: _unix_to_time_sql, -187 exp.Create: _create_sql, -188 exp.Map: _map_sql, -189 exp.Reduce: rename_func("AGGREGATE"), -190 exp.StructKwarg: lambda self, e: f"{self.sql(e, 'this')}: {self.sql(e, 'expression')}", -191 exp.TimestampTrunc: lambda self, e: self.func( -192 "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this -193 ), -194 exp.Trim: trim_sql, -195 exp.VariancePop: rename_func("VAR_POP"), -196 exp.DateFromParts: rename_func("MAKE_DATE"), -197 exp.LogicalOr: rename_func("BOOL_OR"), -198 exp.LogicalAnd: rename_func("BOOL_AND"), -199 exp.DayOfWeek: rename_func("DAYOFWEEK"), -200 exp.DayOfMonth: rename_func("DAYOFMONTH"), -201 exp.DayOfYear: rename_func("DAYOFYEAR"), -202 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -203 exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})", -204 } -205 TRANSFORMS.pop(exp.ArraySort) -206 TRANSFORMS.pop(exp.ILike) -207 -208 WRAP_DERIVED_VALUES = False -209 CREATE_FUNCTION_RETURN_AS = False -210 -211 def cast_sql(self, expression: exp.Cast) -> str: -212 if isinstance(expression.this, exp.Cast) and expression.this.is_type( -213 exp.DataType.Type.JSON -214 ): -215 schema = f"'{self.sql(expression, 'to')}'" -216 return self.func("FROM_JSON", expression.this.this, schema) -217 if expression.to.is_type(exp.DataType.Type.JSON): -218 return self.func("TO_JSON", expression.this) -219 -220 return super(Spark.Generator, self).cast_sql(expression) -221 -222 class Tokenizer(Hive.Tokenizer): -223 HEX_STRINGS = [("X'", "'")] +@@ -312,184 +138,32 @@ -1from __future__ import annotations + 2 + 3import typing as t + 4 + 5from sqlglot import exp + 6from sqlglot.dialects.spark2 import Spark2 + 7from sqlglot.helper import seq_get + 8 + 9 +10def _parse_datediff(args: t.Sequence) -> exp.Expression: +11 """ +12 Although Spark docs don't mention the "unit" argument, Spark3 added support for +13 it at some point. Databricks also supports this variation (see below). +14 +15 For example, in spark-sql (v3.3.1): +16 - SELECT DATEDIFF('2020-01-01', '2020-01-05') results in -4 +17 - SELECT DATEDIFF(day, '2020-01-01', '2020-01-05') results in 4 +18 +19 See also: +20 - https://docs.databricks.com/sql/language-manual/functions/datediff3.html +21 - https://docs.databricks.com/sql/language-manual/functions/datediff.html +22 """ +23 unit = None +24 this = seq_get(args, 0) +25 expression = seq_get(args, 1) +26 +27 if len(args) == 3: +28 unit = this +29 this = args[2] +30 +31 return exp.DateDiff( +32 this=exp.TsOrDsToDate(this=this), expression=exp.TsOrDsToDate(this=expression), unit=unit +33 ) +34 +35 +36class Spark(Spark2): +37 class Parser(Spark2.Parser): +38 FUNCTIONS = { +39 **Spark2.Parser.FUNCTIONS, # type: ignore +40 "DATEDIFF": _parse_datediff, +41 } +42 +43 class Generator(Spark2.Generator): +44 TRANSFORMS = Spark2.Generator.TRANSFORMS.copy() +45 TRANSFORMS.pop(exp.DateDiff) +46 +47 def datediff_sql(self, expression: exp.DateDiff) -> str: +48 unit = self.sql(expression, "unit") +49 end = self.sql(expression, "this") +50 start = self.sql(expression, "expression") +51 +52 if unit: +53 return self.func("DATEDIFF", unit, start, end) +54 +55 return self.func("DATEDIFF", end, start)53class Spark(Hive): - 54 class Parser(Hive.Parser): - 55 FUNCTIONS = { - 56 **Hive.Parser.FUNCTIONS, # type: ignore - 57 "MAP_FROM_ARRAYS": exp.Map.from_arg_list, - 58 "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list, - 59 "LEFT": lambda args: exp.Substring( - 60 this=seq_get(args, 0), - 61 start=exp.Literal.number(1), - 62 length=seq_get(args, 1), - 63 ), - 64 "SHIFTLEFT": lambda args: exp.BitwiseLeftShift( - 65 this=seq_get(args, 0), - 66 expression=seq_get(args, 1), - 67 ), - 68 "SHIFTRIGHT": lambda args: exp.BitwiseRightShift( - 69 this=seq_get(args, 0), - 70 expression=seq_get(args, 1), - 71 ), - 72 "RIGHT": lambda args: exp.Substring( - 73 this=seq_get(args, 0), - 74 start=exp.Sub( - 75 this=exp.Length(this=seq_get(args, 0)), - 76 expression=exp.Add(this=seq_get(args, 1), expression=exp.Literal.number(1)), - 77 ), - 78 length=seq_get(args, 1), - 79 ), - 80 "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list, - 81 "BOOLEAN": lambda args: exp.Cast( - 82 this=seq_get(args, 0), to=exp.DataType.build("boolean") - 83 ), - 84 "IIF": exp.If.from_arg_list, - 85 "INT": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("int")), - 86 "AGGREGATE": exp.Reduce.from_arg_list, - 87 "DAYOFWEEK": lambda args: exp.DayOfWeek( - 88 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 89 ), - 90 "DAYOFMONTH": lambda args: exp.DayOfMonth( - 91 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 92 ), - 93 "DAYOFYEAR": lambda args: exp.DayOfYear( - 94 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 95 ), - 96 "WEEKOFYEAR": lambda args: exp.WeekOfYear( - 97 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 98 ), - 99 "DATE": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("date")), -100 "DATE_TRUNC": lambda args: exp.TimestampTrunc( -101 this=seq_get(args, 1), -102 unit=exp.var(seq_get(args, 0)), -103 ), -104 "STRING": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("string")), -105 "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)), -106 "TIMESTAMP": lambda args: exp.Cast( -107 this=seq_get(args, 0), to=exp.DataType.build("timestamp") -108 ), -109 } -110 -111 FUNCTION_PARSERS = { -112 **parser.Parser.FUNCTION_PARSERS, # type: ignore -113 "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"), -114 "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"), -115 "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"), -116 "MERGE": lambda self: self._parse_join_hint("MERGE"), -117 "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"), -118 "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"), -119 "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"), -120 "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"), -121 } -122 -123 def _parse_add_column(self) -> t.Optional[exp.Expression]: -124 return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema() -125 -126 def _parse_drop_column(self) -> t.Optional[exp.Expression]: -127 return self._match_text_seq("DROP", "COLUMNS") and self.expression( -128 exp.Drop, -129 this=self._parse_schema(), -130 kind="COLUMNS", -131 ) -132 -133 def _pivot_column_names(self, pivot_columns: t.List[exp.Expression]) -> t.List[str]: -134 # Spark doesn't add a suffix to the pivot columns when there's a single aggregation -135 if len(pivot_columns) == 1: -136 return [""] -137 -138 names = [] -139 for agg in pivot_columns: -140 if isinstance(agg, exp.Alias): -141 names.append(agg.alias) -142 else: -143 """ -144 This case corresponds to aggregations without aliases being used as suffixes -145 (e.g. col_avg(foo)). We need to unquote identifiers because they're going to -146 be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`. -147 Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes). -148 -149 Moreover, function names are lowercased in order to mimic Spark's naming scheme. -150 """ -151 agg_all_unquoted = agg.transform( -152 lambda node: exp.Identifier(this=node.name, quoted=False) -153 if isinstance(node, exp.Identifier) -154 else node -155 ) -156 names.append(agg_all_unquoted.sql(dialect="spark", normalize_functions="lower")) -157 -158 return names -159 -160 class Generator(Hive.Generator): -161 TYPE_MAPPING = { -162 **Hive.Generator.TYPE_MAPPING, # type: ignore -163 exp.DataType.Type.TINYINT: "BYTE", -164 exp.DataType.Type.SMALLINT: "SHORT", -165 exp.DataType.Type.BIGINT: "LONG", -166 } -167 -168 PROPERTIES_LOCATION = { -169 **Hive.Generator.PROPERTIES_LOCATION, # type: ignore -170 exp.EngineProperty: exp.Properties.Location.UNSUPPORTED, -171 exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED, -172 exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED, -173 exp.CollateProperty: exp.Properties.Location.UNSUPPORTED, -174 } -175 -176 TRANSFORMS = { -177 **Hive.Generator.TRANSFORMS, # type: ignore -178 exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"), -179 exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}", -180 exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)", -181 exp.BitwiseLeftShift: rename_func("SHIFTLEFT"), -182 exp.BitwiseRightShift: rename_func("SHIFTRIGHT"), -183 exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")), -184 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", -185 exp.StrToDate: _str_to_date, -186 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -187 exp.UnixToTime: _unix_to_time_sql, -188 exp.Create: _create_sql, -189 exp.Map: _map_sql, -190 exp.Reduce: rename_func("AGGREGATE"), -191 exp.StructKwarg: lambda self, e: f"{self.sql(e, 'this')}: {self.sql(e, 'expression')}", -192 exp.TimestampTrunc: lambda self, e: self.func( -193 "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this -194 ), -195 exp.Trim: trim_sql, -196 exp.VariancePop: rename_func("VAR_POP"), -197 exp.DateFromParts: rename_func("MAKE_DATE"), -198 exp.LogicalOr: rename_func("BOOL_OR"), -199 exp.LogicalAnd: rename_func("BOOL_AND"), -200 exp.DayOfWeek: rename_func("DAYOFWEEK"), -201 exp.DayOfMonth: rename_func("DAYOFMONTH"), -202 exp.DayOfYear: rename_func("DAYOFYEAR"), -203 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -204 exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})", -205 } -206 TRANSFORMS.pop(exp.ArraySort) -207 TRANSFORMS.pop(exp.ILike) -208 -209 WRAP_DERIVED_VALUES = False -210 CREATE_FUNCTION_RETURN_AS = False -211 -212 def cast_sql(self, expression: exp.Cast) -> str: -213 if isinstance(expression.this, exp.Cast) and expression.this.is_type( -214 exp.DataType.Type.JSON -215 ): -216 schema = f"'{self.sql(expression, 'to')}'" -217 return self.func("FROM_JSON", expression.this.this, schema) -218 if expression.to.is_type(exp.DataType.Type.JSON): -219 return self.func("TO_JSON", expression.this) -220 -221 return super(Spark.Generator, self).cast_sql(expression) -222 -223 class Tokenizer(Hive.Tokenizer): -224 HEX_STRINGS = [("X'", "'")] +@@ -498,7 +172,11 @@37class Spark(Spark2): +38 class Parser(Spark2.Parser): +39 FUNCTIONS = { +40 **Spark2.Parser.FUNCTIONS, # type: ignore +41 "DATEDIFF": _parse_datediff, +42 } +43 +44 class Generator(Spark2.Generator): +45 TRANSFORMS = Spark2.Generator.TRANSFORMS.copy() +46 TRANSFORMS.pop(exp.DateDiff) +47 +48 def datediff_sql(self, expression: exp.DateDiff) -> str: +49 unit = self.sql(expression, "unit") +50 end = self.sql(expression, "this") +51 start = self.sql(expression, "expression") +52 +53 if unit: +54 return self.func("DATEDIFF", unit, start, end) +55 +56 return self.func("DATEDIFF", end, start)Inherited Members
-
- sqlglot.dialects.dialect.Dialect
+ +- sqlglot.dialects.dialect.Dialect
- get_or_raise
- format_time
- parse
@@ -518,117 +196,17 @@class - Spark.Parser-(sqlglot.dialects.hive.Hive.Parser): + Spark.Parser (sqlglot.dialects.spark2.Spark2.Parser): 54 class Parser(Hive.Parser): - 55 FUNCTIONS = { - 56 **Hive.Parser.FUNCTIONS, # type: ignore - 57 "MAP_FROM_ARRAYS": exp.Map.from_arg_list, - 58 "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list, - 59 "LEFT": lambda args: exp.Substring( - 60 this=seq_get(args, 0), - 61 start=exp.Literal.number(1), - 62 length=seq_get(args, 1), - 63 ), - 64 "SHIFTLEFT": lambda args: exp.BitwiseLeftShift( - 65 this=seq_get(args, 0), - 66 expression=seq_get(args, 1), - 67 ), - 68 "SHIFTRIGHT": lambda args: exp.BitwiseRightShift( - 69 this=seq_get(args, 0), - 70 expression=seq_get(args, 1), - 71 ), - 72 "RIGHT": lambda args: exp.Substring( - 73 this=seq_get(args, 0), - 74 start=exp.Sub( - 75 this=exp.Length(this=seq_get(args, 0)), - 76 expression=exp.Add(this=seq_get(args, 1), expression=exp.Literal.number(1)), - 77 ), - 78 length=seq_get(args, 1), - 79 ), - 80 "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list, - 81 "BOOLEAN": lambda args: exp.Cast( - 82 this=seq_get(args, 0), to=exp.DataType.build("boolean") - 83 ), - 84 "IIF": exp.If.from_arg_list, - 85 "INT": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("int")), - 86 "AGGREGATE": exp.Reduce.from_arg_list, - 87 "DAYOFWEEK": lambda args: exp.DayOfWeek( - 88 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 89 ), - 90 "DAYOFMONTH": lambda args: exp.DayOfMonth( - 91 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 92 ), - 93 "DAYOFYEAR": lambda args: exp.DayOfYear( - 94 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 95 ), - 96 "WEEKOFYEAR": lambda args: exp.WeekOfYear( - 97 this=exp.TsOrDsToDate(this=seq_get(args, 0)), - 98 ), - 99 "DATE": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("date")), -100 "DATE_TRUNC": lambda args: exp.TimestampTrunc( -101 this=seq_get(args, 1), -102 unit=exp.var(seq_get(args, 0)), -103 ), -104 "STRING": lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build("string")), -105 "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)), -106 "TIMESTAMP": lambda args: exp.Cast( -107 this=seq_get(args, 0), to=exp.DataType.build("timestamp") -108 ), -109 } -110 -111 FUNCTION_PARSERS = { -112 **parser.Parser.FUNCTION_PARSERS, # type: ignore -113 "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"), -114 "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"), -115 "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"), -116 "MERGE": lambda self: self._parse_join_hint("MERGE"), -117 "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"), -118 "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"), -119 "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"), -120 "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"), -121 } -122 -123 def _parse_add_column(self) -> t.Optional[exp.Expression]: -124 return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema() -125 -126 def _parse_drop_column(self) -> t.Optional[exp.Expression]: -127 return self._match_text_seq("DROP", "COLUMNS") and self.expression( -128 exp.Drop, -129 this=self._parse_schema(), -130 kind="COLUMNS", -131 ) -132 -133 def _pivot_column_names(self, pivot_columns: t.List[exp.Expression]) -> t.List[str]: -134 # Spark doesn't add a suffix to the pivot columns when there's a single aggregation -135 if len(pivot_columns) == 1: -136 return [""] -137 -138 names = [] -139 for agg in pivot_columns: -140 if isinstance(agg, exp.Alias): -141 names.append(agg.alias) -142 else: -143 """ -144 This case corresponds to aggregations without aliases being used as suffixes -145 (e.g. col_avg(foo)). We need to unquote identifiers because they're going to -146 be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`. -147 Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes). -148 -149 Moreover, function names are lowercased in order to mimic Spark's naming scheme. -150 """ -151 agg_all_unquoted = agg.transform( -152 lambda node: exp.Identifier(this=node.name, quoted=False) -153 if isinstance(node, exp.Identifier) -154 else node -155 ) -156 names.append(agg_all_unquoted.sql(dialect="spark", normalize_functions="lower")) -157 -158 return names +@@ -679,74 +257,25 @@ Default: "nulls_are_small"38 class Parser(Spark2.Parser): +39 FUNCTIONS = { +40 **Spark2.Parser.FUNCTIONS, # type: ignore +41 "DATEDIFF": _parse_datediff, +42 }class - Spark.Generator-(sqlglot.dialects.hive.Hive.Generator): + Spark.Generator (sqlglot.dialects.spark2.Spark2.Generator): -160 class Generator(Hive.Generator): -161 TYPE_MAPPING = { -162 **Hive.Generator.TYPE_MAPPING, # type: ignore -163 exp.DataType.Type.TINYINT: "BYTE", -164 exp.DataType.Type.SMALLINT: "SHORT", -165 exp.DataType.Type.BIGINT: "LONG", -166 } -167 -168 PROPERTIES_LOCATION = { -169 **Hive.Generator.PROPERTIES_LOCATION, # type: ignore -170 exp.EngineProperty: exp.Properties.Location.UNSUPPORTED, -171 exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED, -172 exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED, -173 exp.CollateProperty: exp.Properties.Location.UNSUPPORTED, -174 } -175 -176 TRANSFORMS = { -177 **Hive.Generator.TRANSFORMS, # type: ignore -178 exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"), -179 exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}", -180 exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)", -181 exp.BitwiseLeftShift: rename_func("SHIFTLEFT"), -182 exp.BitwiseRightShift: rename_func("SHIFTRIGHT"), -183 exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")), -184 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", -185 exp.StrToDate: _str_to_date, -186 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -187 exp.UnixToTime: _unix_to_time_sql, -188 exp.Create: _create_sql, -189 exp.Map: _map_sql, -190 exp.Reduce: rename_func("AGGREGATE"), -191 exp.StructKwarg: lambda self, e: f"{self.sql(e, 'this')}: {self.sql(e, 'expression')}", -192 exp.TimestampTrunc: lambda self, e: self.func( -193 "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this -194 ), -195 exp.Trim: trim_sql, -196 exp.VariancePop: rename_func("VAR_POP"), -197 exp.DateFromParts: rename_func("MAKE_DATE"), -198 exp.LogicalOr: rename_func("BOOL_OR"), -199 exp.LogicalAnd: rename_func("BOOL_AND"), -200 exp.DayOfWeek: rename_func("DAYOFWEEK"), -201 exp.DayOfMonth: rename_func("DAYOFMONTH"), -202 exp.DayOfYear: rename_func("DAYOFYEAR"), -203 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -204 exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})", -205 } -206 TRANSFORMS.pop(exp.ArraySort) -207 TRANSFORMS.pop(exp.ILike) -208 -209 WRAP_DERIVED_VALUES = False -210 CREATE_FUNCTION_RETURN_AS = False -211 -212 def cast_sql(self, expression: exp.Cast) -> str: -213 if isinstance(expression.this, exp.Cast) and expression.this.is_type( -214 exp.DataType.Type.JSON -215 ): -216 schema = f"'{self.sql(expression, 'to')}'" -217 return self.func("FROM_JSON", expression.this.this, schema) -218 if expression.to.is_type(exp.DataType.Type.JSON): -219 return self.func("TO_JSON", expression.this) -220 -221 return super(Spark.Generator, self).cast_sql(expression) +@@ -794,27 +323,26 @@ Default: True44 class Generator(Spark2.Generator): +45 TRANSFORMS = Spark2.Generator.TRANSFORMS.copy() +46 TRANSFORMS.pop(exp.DateDiff) +47 +48 def datediff_sql(self, expression: exp.DateDiff) -> str: +49 unit = self.sql(expression, "unit") +50 end = self.sql(expression, "this") +51 start = self.sql(expression, "expression") +52 +53 if unit: +54 return self.func("DATEDIFF", unit, start, end) +55 +56 return self.func("DATEDIFF", end, start)- ++def - cast_sql(self, expression: sqlglot.expressions.Cast) -> str: + datediff_sql(self, expression: sqlglot.expressions.DateDiff) -> str: - +- -+212 def cast_sql(self, expression: exp.Cast) -> str: -213 if isinstance(expression.this, exp.Cast) and expression.this.is_type( -214 exp.DataType.Type.JSON -215 ): -216 schema = f"'{self.sql(expression, 'to')}'" -217 return self.func("FROM_JSON", expression.this.this, schema) -218 if expression.to.is_type(exp.DataType.Type.JSON): -219 return self.func("TO_JSON", expression.this) -220 -221 return super(Spark.Generator, self).cast_sql(expression) + +@@ -943,7 +471,7 @@ Default: True48 def datediff_sql(self, expression: exp.DateDiff) -> str: +49 unit = self.sql(expression, "unit") +50 end = self.sql(expression, "this") +51 start = self.sql(expression, "expression") +52 +53 if unit: +54 return self.func("DATEDIFF", unit, start, end) +55 +56 return self.func("DATEDIFF", end, start)- where_sql
- window_sql
- partition_by_sql
-- window_spec_sql
+- windowspec_sql
- withingroup_sql
- between_sql
- bracket_sql
@@ -952,6 +480,7 @@ Default: True- exists_sql
- case_sql
- constraint_sql
+- nextvaluefor_sql
- extract_sql
- trim_sql
- concat_sql
@@ -1047,6 +576,10 @@ Default: True- merge_sql
- tochar_sql
+-- sqlglot.dialects.hive.Hive.Generator
- arrayagg_sql
@@ -1057,35 +590,6 @@ Default: True- - - - - - - - - --Inherited Members
-- -
-